Patent application EP17176173A (EP), filed 2017-06-15
Publication number: EP3416151A1
Title: DETECTION OF NON-V2V VEHICLES
Abstract: There is provided mechanisms for detection of a target vehicle without V2V capability. A method is performed by an electronic control unit. The method comprises obtaining sensor data from at least one on-board sensor of an ego vehicle. The sensor data indicates presence of the target vehicle within sensing range of the at least one on-board sensor. The method comprises determining that the target vehicle is without V2V capability by comparing the sensor data to output data from a V2V system of the ego vehicle. The method comprises determining, based on the sensor data and on current positioning data of the ego vehicle, fusion data representing at least one of current position, current direction and current speed of the target vehicle. The method comprises wirelessly transmitting the fusion data of the target vehicle.
IPC codes: G06K   9/    00            A I
H04L  29/    08            A I
G08G   1/    01            A I
G08G   1/    04            A I
G08G   1/  0967            A I
H04W   4/    06            A I
H04W  84/    00            A I
H04W  84/    18            A I
Claims: number: 1
text: A method for detection of a target vehicle (120) without vehicle-to-vehicle, V2V, capability, the method being performed by an electronic control unit (200), the method comprising:
number: 2
text: The method according to claim 1, wherein the fusion data is wirelessly transmitted using the V2V system (240) to another vehicle (110') comprising its own V2V system (240').
number: 3
text: The method according to claim 1, wherein the fusion data is wirelessly transmitted using a cellular network radio technology or a wireless local area network radio technology to another vehicle (120') without V2V capability and/or to a traffic information collecting center (300).
number: 4
text: The method according to claim 1, wherein the current positioning data of the ego vehicle (110) is global positioning system, GPS, data, and wherein the fusion data comprises GPS data representing the current position of the target vehicle (120).
number: 5
text: The method according to claim 1, wherein the sensor data is used as input to an object classifier that classifies the target vehicle (120) into a target object class selected from a set of target object classes, each of which is associated with its own label, and wherein the fusion data comprises the label of the target object class.
number: 6
text: The method according to claim 1, wherein the sensor data is obtained as combined sensor data from at least two on-board sensors (250) of different type.
number: 7
text: The method according to claim 1, wherein the at least one on-board sensor (250) is a radar based sensor, camera based sensor, a Light Detection and Ranging based sensor, or an ultra high frequency radio based sensor.
number: 8
text: The method according to claim 1, wherein the positioning data of the ego vehicle (110) comprises at least one of current position, current direction and current speed of the ego vehicle (110).
number: 9
text: The method according to claim 1, further comprising:
number: 10
text: The method according to claim 1, further comprising:
number: 11
text: The method according to claim 1, further comprising:
number: 12
text: The method according to claim 11, wherein performing vehicle control comprises at least one of:
number: 13
text: An electronic control unit (200) for detection of a target vehicle (120) without vehicle-to-vehicle, V2V, capability, the electronic control unit (200) comprising:
number: 14
text: A vehicle (110) comprising the electronic control unit (200) according to claim 13.
number: 15
text: A computer program (720) for detection of a target vehicle (120) without vehicle-to-vehicle, V2V, capability, the computer program comprising computer code which, when run on processing circuitry (210) of an electronic control unit (200), causes the electronic control unit (200) to:
Office action: search_report, dated 2018-12-19
Prior art cited: ref_id: US2013138320A1
ref_type: patent
severity: background
ref_id: US2009309757A1
ref_type: patent
severity: background
ref_id: US2002198660A1
ref_type: patent
severity: background
ref_id: US2002198660
ref_type: patent
severity: background
ref_id: US2009309757
ref_type: patent
severity: background
ref_id: US2013138320
ref_type: patent
severity: background
Final disposition: pending (2018-12-19)