Patent Description:
Teleoperated remote driving of a vehicle is considered by many to be a transient technology toward fully autonomous driving in urban areas. In this mobility concept, a teleoperator uses a teleoperator station to remotely drive the vehicle via a wireless communication network. To this end, the teleoperator station receives live video data providing a view of the vehicle's environment from the vehicle and displays the live video data to the teleoperator. The teleoperator reacts to the live video data by using a control interface provided by the teleoperator station to generate drive control commands for controlling the driving of the vehicle. The drive control commands are sent from the teleoperator station to the vehicle.

In order for the teleoperator to be able to remotely drive the vehicle in a safe and efficient manner, a reliable transmission of the live video data of the vehicle's environment from the vehicle to the teleoperator station is required. To this end, the live video data that is captured at the vehicle is preferably compressed using modern video coding technology, such as H. <NUM>/AVC (Advanced Video Coding) or H. <NUM>/HEVC (High Efficiency Video Coding), wherein the video coding technology is preferably run in a modus that allows for ultra-low delay encoding and decoding. For example, the video coding technology may be run such that for encoding a frame of the live video data only already known video frames are used as reference frames to improve coding efficiency.

While today's wireless communication networks, such as fourth generation (<NUM>) wireless communication networks or fifth generation (<NUM>) wireless communication networks, show a remarkable increase in bandwidth and transmission speed compared to earlier wireless communication technologies, such as third generation (<NUM>) wireless communication networks, the transmission channel is still limited in capacity, especially in cases such as hand-over between neighboring cells of the network. It is therefore desirable to be able to optimize the video encoding and/or transmission of the live video data that is captured at the remotely driven vehicle.

<CIT> discloses an autonomous land vehicle which includes a land vehicle conveyance system, at least two telecommunication devices, an imaging device configured to capture image data of a surrounding environment, a video encoder configured to encode the image data, one or more processors, and at least one memory storing instructions. The telecommunication devices can perform wireless communication independently of each other and can simultaneously perform wireless communication. The instructions, when executed by the processor(s), cause the vehicle to travel using the conveyance system, determine a communication capability of the telecommunication devices while the conveyance system performs travel, determine a compression rate for the video encoder based on the communication capability, encode the image data using the video encoder based on the compression rate to generate encoded data, and communicate the encoded data using at least one telecommunication device based on the communication capability.

<CIT> relates to the field of encoding technology, and in particular, to a video encoding method, a video encoding device, and a computer storage medium.

<CIT> dioscloses that the quality at which camera data (e.g., images, video, and/or audio captured by a camera device) is transmitted and/or stored may be adjusted based on the application of analytic techniques. For example, a camera processing device may receive camera data and receive information relating to conditions external to the capturing of the camera data. The camera processing device may control the resolution associated with the camera data based on the information relating to the conditions.

<CIT> relates to an imaging control device, a vehicle imaging device, an imaging control method, and a program.

<CIT> discloses methods and an apparatus for vehicle-to-vehicle communication. Embodiments receive a data request from a remote vehicle for data not available to the remote vehicle. Visual data from a host vehicle responsive to the data request that includes the data not available to the remote vehicle is determined. The visual data is analyzed for objects to create metadata associated with the visual data. The visual data and the metadata are provided to the remote vehicle in response to the data request.

It is an object of the present invention to provide a vehicle that is adapted to be remotely driven via a wireless communication network, which allows for an optimization of video encoding of the live video data that is captured at the vehicle. It is a further object of the present invention to provide a system for remotely driving a vehicle via a wireless communication network as well as a method for video encoding and transmission of live video data captured at a remotely driven vehicle.

Enabling disclosure for the protected invention is provided with the embodiments described in relation to <FIG>. The other figures, aspects, and embodiments are provided for illustrative purposes and do not represent embodiments of the invention unless when combined with all of the features respectively defined in the independent claims.

In a first aspect of the present invention, a vehicle that is adapted to be remotely driven via a wireless communication network is presented, comprising:.

It is preferred that the control unit is adapted to control the video encoding unit to optimize the video encoding of the captured live video data, wherein the controlling is based on one, two or all of: (i) pre-determined location information associated with a current location of the vehicle; (ii) the real-time driving information associated with current driving parameters of the vehicle, and; (iii) real-time environment information associated with a current environment of the vehicle.

Since the vehicle that is adapted to be remotely driven via a wireless communication network comprises a control unit for controlling the video encoding unit, and since the control unit is adapted to control the video encoding unit to optimize the video encoding of the captured live video data, wherein the controlling is based on one, two or all of: (i) pre-determined location information associated with a current location of the vehicle; (ii) real-time driving information associated with current driving parameters of the vehicle, and; (iii) real-time environment information associated with a current environment of the vehicle, the perceived quality of the live video data at a teleoperator station may be improved. This, in turn, may greatly improve the safety of the remote driving operation.

The wireless communication network is preferably a network that allows for a bidirectional transmission of data between the vehicle and the teleoperator station. For example, it can be a fourth generation (<NUM>) wireless communication network or a fifth generation (<NUM>) wireless communication network.

The video encoding of the live video data that is captured at the vehicle is preferably performed such that it is compressed using modern video coding technology, such as H. <NUM>/AVC (Advanced Video Coding) or H. <NUM>/ HEVC (High Efficiency Video Coding), wherein the video coding technology is preferably run in a modus that allows for ultra-low delay encoding and decoding. For example, the video coding technology may be run such that for encoding a frame of the live video data only already known video frames are used as reference frames to improve coding efficiency.

The vehicle is preferably a car, such as a small car, a regular car, or a Sports Utility Vehicle (SUV), a van, a truck or another type of vehicle that is adapted to be remotely driven. For example, it may also be a buggy or the like.

Preferably, the vehicle is a modified vehicle that provides the required on-board infrastructure for teleoperation. This can include actuators for controlling the vehicle, the capturing unit for capturing a live representation of the vehicle's environment, and appropriate interfaces for bi-directional communication with the teleoperator station via the wireless communication network. The actuators can be mechanical actuators that directly actuate on the vehicle's steering wheel, speed pedal and brakes. Alternatively, already present actuators of the vehicle (e.g., for adjusting the orientation of the vehicle's wheels) may be controlled via an electronic interface.

It is preferred that the control unit is adapted to control (i) one or more video encoding parameters, wherein the controlled video encoding parameter(s) is/are selected from the group consisting of: a bitrate; a spatial resolution; a color depth; a color format; a frame rate; a digital zoom, and; an insertion of intra coded frames, and/or (ii) a pre-processing of the captured live video data in order to simplify the video encoding of the captured live video data.

It is preferred that the pre-determined location information is selected from the group consisting of: expected wireless communication network characteristics at the current location of the vehicle; an expected speed of the vehicle at the current location of the vehicle, and; a complexity of the environment at the current location of the vehicle.

It is further preferred that the real-time driving information is selected from the group consisting of: a current direction of the vehicle; a current steering angle of the vehicle, and; a current inclination of the vehicle.

It is preferred that the real-time environment information is selected from the group consisting of: a time of day in the current environment of the vehicle; a weather in the current environment of the vehicle; lighting conditions in the current environment of the vehicle, and a traffic in the current environment of the vehicle.

It is further preferred that the pre-determined location information is provided in a map that has been determined a-priori.

It is further preferred that a size, shape and/or location of the region-of-interest is repeatedly adjusted in the captured live video data based on the pre-determined location information associated with the current location of the vehicle and/or the real-time driving information associated with current driving parameters of the vehicle and/or the real-time environment information associated with a current environment of the vehicle.

It is further preferred that the expected speed of the vehicle at the current location of the vehicle and/or the current speed of the vehicle and/or the current direction of the vehicle and/or the current steering angle of the vehicle and/or the current inclination of the vehicle is used by the control unit as an indication of how many bits to use for the video encoding of the captured live video data.

In a further aspect of the present invention, a method for video encoding and/or transmission of live video data captured at a vehicle that is remotely driven via a wireless communication network is presented, comprising:.

It shall be understood that the vehicle of claim <NUM> and the method of claim <NUM> have similar and/or identical preferred embodiments, in particular, as defined in the dependent claims.

These and other aspects of the present invention will be apparent from and elucidated with reference to the embodiments described hereinafter. In the following drawings:.

<FIG> shows schematically and exemplarily an embodiment of a system <NUM> for remotely driving a vehicle <NUM> via a wireless communication network <NUM>. The system <NUM> comprises a vehicle <NUM> that is adapted to be remotely driven via the wireless communication network <NUM>. Moreover, the system <NUM> comprises a teleoperator station <NUM> for use by the teleoperator to remotely drive the vehicle <NUM> via the wireless communication network <NUM>. To this end, the teleoperator station <NUM> receives live video data providing a view of the vehicle's environment from the vehicle <NUM> and displays the live video data to the teleoperator. The teleoperator reacts to the live video data by using a control interface provided by the teleoperator station <NUM> to generate drive control commands for controlling the driving of the vehicle <NUM>. The drive control commands are sent from the teleoperator station <NUM> to the vehicle <NUM>.

An embodiment of a vehicle <NUM> that is adapted to be remotely driven via a wireless communication network <NUM> is schematically and exemplarily shown in <FIG>. The vehicle <NUM> may be used in the system <NUM> for remotely driving a vehicle <NUM> via a wireless communication network <NUM> shown in <FIG>. In this embodiment, the vehicle <NUM> is a modified car that provides the required on-board infrastructure for teleoperation. This can include actuators for controlling the vehicle <NUM>, a capturing unit <NUM> for capturing live video data of the vehicle's environment, and appropriate interfaces for bi-directional communication with the teleoperator station <NUM> via the wireless communication network <NUM>. The actuators can be mechanical actuators that directly actuate on the vehicle's steering wheel, speed pedal and brakes. Alternatively, already present actuators of the vehicle (e.g., for adjusting the orientation of the vehicle's wheels) may be controlled via an electronic interface.

The vehicle <NUM>, here, comprises the capturing unit <NUM> for capturing live video data of the vehicle's environment, a video encoding unit <NUM> for video encoding the captured live video data, a transmission unit <NUM> for transmitting the encoded live video data via the wireless communication network <NUM>, and a control unit <NUM> for controlling the video encoding unit <NUM> and/or the transmission unit <NUM>.

According to the present invention, the control unit <NUM> is adapted to control the video encoding unit <NUM> to optimize the video encoding of the captured live video data and/or to control the transmission unit <NUM> to optimize the transmission of the encoded live video data. In particular, the controlling is based on one, two or all of: (i) pre-determined location information associated with a current location of the vehicle <NUM>; (ii) real-time driving information associated with current driving parameters of the vehicle <NUM>, and; (iii) real-time environment information associated with a current environment of the vehicle <NUM>.

In this embodiment, the control unit <NUM> is adapted to control one or more video encoding parameters, wherein the controlled video encoding parameter(s) is/are selected from the group consisting of: a bitrate; a spatial resolution; a color depth; a color format; a frame rate; a region-of-interest, a digital zoom, and; an insertion of intra coded frames. These parameters allow for an adaptation of the quality vs. bitrate operating point of the video encoding.

Additionally or alternatively, the control unit <NUM> can be adapted to control a pre-processing of the captured live video data in order to simplify the video encoding of the captured live video data. For example, the pre-processing may include a low-pass filtering or an edge filtering of the captured live video data in order to reduce the amount of high frequency components in the captured live video data, which allows for a more efficient video encoding of the captured live video data.

In this embodiment, the control unit <NUM> is adapted to control one or more transmission parameters, wherein the controlled transmission parameter(s) is/are selected from the group consisting of: a transmission bitrate; a transmission protection; a wireless communication network carrier, and; a prioritization of data packets via one or more wireless communication network carriers. These parameters are well suited for optimizing the quality of the transmission of the encoded live video data.

Additionally or alternatively, the control unit <NUM> can be adapted to control, if multiple vehicles <NUM> that are adapted to be remotely driven via the wireless communication network <NUM> transmit encoded live video data in a same cell of the wireless communication network <NUM>, an allocation of a transmission bitrate over the multiple vehicles <NUM>. For example, the allocation of the transmission bitrate may be based on a statistical multiplexing scheme that considers the current bitrate requirements of the encoded live video data transmitted from each of the multiple vehicles <NUM>.

In this embodiment, the pre-determined location information is selected from the group consisting of: expected wireless communication network characteristics at the current location of the vehicle <NUM>; an expected speed of the vehicle <NUM> at the current location of the vehicle <NUM>, and; a complexity of the environment at the current location of the vehicle <NUM>. For example, if the wireless communication network <NUM> is expected to not be very reliable at the current location of the vehicle <NUM>, it may be preferable to increase the transmission protection of the transmission of the encoded live video data. Similar, if the capacity of the transmission channel at the current location of the vehicle <NUM> is expected to be rather low, it may be preferable to reduce the transmission bitrate used for the encoded live video data. Similar, if the complexity of the environment at the current location of the vehicle <NUM> is rather high, e.g., because the vehicle <NUM> is remotely driven along an avenue with many trees with leaves, it may be preferable to low-pass filter or edge filter the captured live video data in order to simplify the video encoding of the captured live video data of the high complexity environment. In contrast, if the complexity of the environment at the current location of the vehicle <NUM> is rather low, e.g., because the vehicle <NUM> is remotely driven within a tunnel, one or more video encoding parameters, such as a spatial resolution, a color depth or a frame rate, may be controlled in order to save bitrate in the video encoding of the captured live video data of the low complexity environment. As another example, it may be preferable in high complexity environments to acquire more available transmission bitrate up-front to entering such environments. This may require using another or an additional wireless communication network carrier (additional SIM card). The complexity of the environment may be indicated and/or quantified by a number of different metrics. For example, it may be indicated and/or quantified in terms of the bitrate required for video encoding the captured live video data at a distinct video quality. This information may be determined a-priori, for example, based on a-priori video encoder runs performed on video data captured at the current location of the vehicle <NUM>. Alternatively, the metric with which the complexity of the environment is indicated and/or quantified may directly consider the content of video data captured at the current location of the vehicle <NUM>. For example, it may consider the amount of high frequency components of the captured video data.

In this embodiment, the real-time driving information is selected from the group consisting of: a current speed of the vehicle <NUM>; a current direction of the vehicle <NUM>; a current steering angle of the vehicle <NUM>, and; a current inclination of the vehicle <NUM>. For example, if the vehicle <NUM> is remotely driven at a rather high current speed, a digital zoom <NUM> may be used in the video encoding of the captured live video data <NUM> in order to highlight or improve the visibility of higher distance objects like traffic lights or traffic signs. This is schematically and exemplarily shown in <FIG>. Similar, a region-of-interest <NUM> is defined in the captured live video data <NUM> for an area in front of the vehicle <NUM>. This region-of-interest <NUM> is then given a higher quality in the video encoding of the captured live video data <NUM> while areas outside the region-of-interest <NUM>, for example, objects of less importance, such as buildings, the sky and so on, is given a lower quality in the video encoding of the captured live video data <NUM>. This is schematically and exemplarily shown in <FIG>. In contrast, if the vehicle <NUM> is remotely driven at a rather low current speed, it is preferable to neither use a digital zoom <NUM> nor a region-of-interest <NUM> and rather give the same quality to the whole captured live video data <NUM> in the video encoding of the captured live video data <NUM>. As another example, if the vehicle <NUM> is remotely driven at a rather high current speed, it may be preferable to acquire more available transmission bitrate. This may require using another or an additional wireless communication network carrier (additional SIM card).

In this embodiment, the real-time environment information is selected from the group consisting of: a time of day in the current environment of the vehicle <NUM>; a weather in the current environment of the vehicle <NUM>; lighting conditions in the current environment of the vehicle <NUM>, and a traffic in the current environment of the vehicle <NUM>. For example, if the traffic in the current environment of the vehicle <NUM> is rather high, it may be preferable to not neither use a digital zoom <NUM> or a region-of-interest <NUM> and rather give the same quality to the whole captured live video data in the video encoding of the captured live video data. Similar, if the weather in the current environment of the vehicle <NUM> is very bad, e.g., because it is raining excessively, and/or the lighting conditions in the current environment of the vehicle <NUM> are problematic, e.g., because the sun is glaring, it may be preferable to pre-processing the captured live video data in order to simplify the video encoding of the captured live video data. As another example, if the time of day in the current environment of the vehicle <NUM> is night and the lighting conditions in the current environment of the vehicle <NUM> are rather low, it may be preferable to only use a gray scale color format in the video encoding of the captured live video data in order to save bitrate.

In this embodiment, the pre-determined location information at the current location of the vehicle <NUM> is provided in a map that has been determined a-priori. For example, the pre-determined location information may be determined a-priori for each road segment in a certain geographical area, wherein the map data may then be used - alone or together with the real-time driving information associated with current driving parameters of the vehicle <NUM> and/or the real-time environment information associated with the current environment of the vehicle <NUM> - by the control unit <NUM> to control the video encoding unit <NUM> to optimize the video encoding of the captured live video data and/or to control the transmission unit <NUM> to optimize the transmission of the encoded live video data. In this embodiment, the map data is used by the control unit <NUM> for an on-the-fly control of the video encoding of the captured live video data and/or the transmission of the encoded live video data. Alternatively, suitable video encoding parameter(s) and/or transmission parameter(s) can be determined offline (beforehand) based on the pre-determined location information provided in the map. Moreover, it is possible that the control of the one or more video encoding parameter(s) and/or the one or more transmission parameter(s) is implemented in the control unit <NUM> using a neural network that has been suitably training using the map data and corresponding video encoding parameter(s) and/or transmission parameter(s). These may have been determined manually, e.g., by running tests with different parameters and by selected the most suitable parameters from the standpoint of the teleoperator at the teleoperator station <NUM>.

In this embodiment, the prioritization of data packets via one or more wireless communication network carriers comprises sending parts of the encoded live video data via a first carrier or network path with a first expected wireless communication network performance and sending other parts of the encoded live video data via a second carrier with a second expected wireless communication network performance, wherein the first expected wireless communication network performance and the second expected wireless communication network performance differ in terms of one, two, three or all of: a reliability of the carrier or network path, a latency of the carrier or network path, a cost of transmission via the carrier or network path, and an availability of the carrier or network path. For example, it may be preferable to send more important parts of the encoded live video data, such as intra coded frame, recovery points, random access points and reference frames that are important for the decoding of multiple other video frames (e.g., in a bitstream with (temporal) coding layers) via a more reliable carrier or network path or a carrier or network path that has a lower latency. In contrast, less important parts of the encoded live video data may preferably be send via a carrier or network path that has a lower cost of transmission.

In this embodiment, the region-of-interest <NUM> is given a higher bitrate in the video encoding of the captured live video data <NUM>. This has already been discussed above. Additionally or alternatively, a size, shape and/or location of the region-of-interest <NUM> may repeatedly be adjusted in the captured live video data <NUM> based on the pre-determined location information associated with the current location of the vehicle <NUM> and/or the real-time driving information associated with current driving parameters of the vehicle <NUM> (cf. the discussion with respect to <FIG> above) and/or the real-time environment information associated with a current environment of the vehicle <NUM>. For example, if the road at the current location of the vehicle <NUM> is a multi-lane road, it may be preferable that the size of the region-of-interest <NUM> is adjusted in the captured live video data <NUM> to be larger than if the road at the current location of the vehicle <NUM> is a single-lane road. Similar, it may be preferable that the size and/or shape of the region-of-interest <NUM> is adjusted to be larger when the vehicle <NUM> approaches an intersection. As another example, if the vehicle <NUM> approaches an intersection with only one side road, it may be preferable that the location of the region-of-interest <NUM> is adjusted to be more on the side of the road on which the side road intersects with the road. Similar, it may be preferable that the size, shape and/or location of the region-of-interest <NUM> is adjusted in a similar manner if the current steering angle of the vehicle <NUM> is large. As yet a further example, if the lighting conditions in the current environment of the vehicle <NUM> are rather bad, it may be preferable that the size of the region-of-interest <NUM> is adjusted in the captured live video data <NUM> in order for the teleoperator to be able to better focus on the most important parts (e.g., the street) of the current environment of the vehicle <NUM>.

In this embodiment, the expected wireless communication network characteristics at the current location of the vehicle <NUM> comprise an expected latency of the wireless communication network <NUM> and the prioritization of data packets via one or more wireless communication network carriers comprises a redundant transmission of parts of the encoded live video data via multiple carriers, such as using Forward Error Correction (FEC) methods. This improves the likelihood of receiving data packets with a lower latency.

In this embodiment, the expected speed of the vehicle <NUM> at the current location of the vehicle <NUM> and/or the current speed of the vehicle <NUM> and/or the current direction of the vehicle <NUM> and/or the current steering angle of the vehicle <NUM> and/or the current inclination of the vehicle <NUM> is used by the control unit <NUM> as an indication of how many bits to use for the video encoding of the captured live video data. For example, if the expected speed of the vehicle <NUM> at the current location of the vehicle <NUM> and/or the current speed of the vehicle <NUM> is rather low or even zero, e.g., if the vehicle <NUM> is currently standing still in front of a traffic light, fewer temporal changes may be expected in the captured live video data, wherefore it may be expected that the video encoding of the captured live video data will require fewer bits (lower bitrate). Similar, if the current steering angle of the vehicle <NUM> is rather large (strong steering), more temporal changes may be expected in the captured live video data, wherefore it may be expected that the video encoding of the captured live video data will require more bits (higher bitrate).

In this embodiment, the capturing unit <NUM> is adapted to capture the live video data <NUM> of the vehicle's environment from multiple positions and/or in multiple directions and the control unit <NUM> is adapted to control the video encoding unit <NUM> and/or the transmission unit <NUM> differently for parts of the live video data captured from different positions and/or different directions. For example, the capturing unit <NUM> may comprise a rather wide angle front camera that may be positioned on the roof or in the front of the vehicle <NUM> as well as two side cameras that may be positioned on the roof or in the front of the vehicle <NUM>. It may then be preferable that the control unit <NUM> controls the video encoding unit <NUM> and/or the transmission unit <NUM> differently for parts of the live video data captured by the front camera and parts of the live video data captured by the side cameras. For example, if the vehicle <NUM> is remotely driven at a rather high current speed, a higher bitrate may be used for the video encoding of the parts of the live video data captured by the front camera, and if the vehicle <NUM> is remotely driven at a rather low current speed, a higher bitrate may be used for the video encoding of the parts of the live video data captured by the side cameras.

In the following, an embodiment of a method for remotely driving a vehicle <NUM> via a wireless communication network <NUM> will exemplarily be described with reference to a flowchart shown in <FIG>. In this embodiment, the method is performed by the vehicle <NUM> shown in <FIG>.

In step S101, live video data of the vehicle's environment is captured. In this example, this step is performed by the capturing unit <NUM>.

In step S102, the captured live video data is encoded. In this example, this step is performed by the video encoding unit <NUM>.

In step S103, the encoded live video data is transmitted via the wireless communication network <NUM>. In this example, this step is performed by the transmission unit <NUM>.

In step S104, the video encoding and/or the transmission is controlled. In this example, this step is performed by the control unit <NUM>.

The controlling controls the video encoding to optimize the video encoding of the captured live data and/or controls the transmission to optimize the transmission of the encoded live data, wherein the controlling is based on one, two or all of: (i) pre-determined location information associated with a current location of the vehicle <NUM>; (ii) real-time driving information associated with current driving parameters of the vehicle <NUM>, and; (iii) real-time environment information associated with a current environment of the vehicle.

Operations such as the capturing of live video data of the vehicle's environment, the encoding the captured live video data, the transmitting the encoded live video data via the wireless communication network, the controlling the video encoding and/or the transmission, et cetera, which are performed by one or more units or devices, can also be performed by a different number of units or devices. These processes can be implemented fully or at least in part as program code of a computer program and/or fully or at least in part as a corresponding hardware.

Claim 1:
A vehicle (<NUM>) that is adapted to be remotely driven via a wireless communication network (<NUM>), comprising:
- a capturing unit (<NUM>) for capturing live video data (<NUM>) of the vehicle's environment;
- a video encoding unit (<NUM>) for video encoding the captured live video data (<NUM>);
- a transmission unit (<NUM>) for transmitting the encoded live video data (<NUM>) via the wireless communication network (<NUM>); and
- a control unit (<NUM>) for controlling the video encoding unit (<NUM>) and/or the transmission unit (<NUM>);
wherein the control unit (<NUM>) is adapted to control the video encoding unit (<NUM>) to optimize the video encoding of the captured live video data (<NUM>), wherein the controlling is based on real-time driving information associated with current driving parameters of the vehicle (<NUM>),
characterized in that, if the vehicle (<NUM>) is remotely driven at a higher current speed, a region-of-interest (<NUM>) is defined in the captured live video data (<NUM>) for an area in front of the vehicle (<NUM>), wherein the region-of-interest (<NUM>) is given a higher quality in the video encoding of the captured live video data (<NUM>) whereas areas outside the region-of-interest (<NUM>) are given a lower quality in the video encoding of the captured live video data (<NUM>), and if the vehicle (<NUM>) is remotely driven at a lower current speed, a region-of-interest (<NUM>) is not used and rather the same quality is given to the whole captured live video data (<NUM>) in the video encoding of the captured live video data (<NUM>).