A system comprising: one or more sensors (204; 304) coupled to a vehicle (200; 308) and configured to detect sensor information; and a first computing device configured to: receive , from a server, environmental information indicating environments along corresponding road segments; receive geographic location information indicating a location of the vehicle; generate, based on the environmental information and the geographic location information, a virtual world representing a particular environment along a particular road segment on which the vehicle is located; communicate with the one or more sensors to receive the sensor information; analyze the sensor information to identify one or more risk objects, wherein a risk object is an object which may pose a danger to the vehicle; generate respective point clouds illustrating each of the one or more risk objects, wherein the respective point clouds illustrating each of the one or more risk objects are color-coded to a severity of a potential risk to the vehicle; generate , by superimposing the respective point clouds into the virtual world, a three-dimensional risk map ; and display , using a display device of the vehicle, the 3D risk map comprising the superimposed respective point clouds. one or more sensors (204; 304) coupled to a vehicle (200; 308) and configured to detect sensor information; and a first computing device configured to: receive , from a server, environmental information indicating environments along corresponding road segments; receive geographic location information indicating a location of the vehicle; generate, based on the environmental information and the geographic location information, a virtual world representing a particular environment along a particular road segment on which the vehicle is located; communicate with the one or more sensors to receive the sensor information; analyze the sensor information to identify one or more risk objects, wherein a risk object is an object which may pose a danger to the vehicle; generate respective point clouds illustrating each of the one or more risk objects, wherein the respective point clouds illustrating each of the one or more risk objects are color-coded to a severity of a potential risk to the vehicle; generate , by superimposing the respective point clouds into the virtual world, a three-dimensional risk map ; and display , using a display device of the vehicle, the 3D risk map comprising the superimposed respective point clouds. receive , from a server, environmental information indicating environments along corresponding road segments; receive geographic location information indicating a location of the vehicle; generate, based on the environmental information and the geographic location information, a virtual world representing a particular environment along a particular road segment on which the vehicle is located; communicate with the one or more sensors to receive the sensor information; analyze the sensor information to identify one or more risk objects, wherein a risk object is an object which may pose a danger to the vehicle; generate respective point clouds illustrating each of the one or more risk objects, wherein the respective point clouds illustrating each of the one or more risk objects are color-coded to a severity of a potential risk to the vehicle; generate , by superimposing the respective point clouds into the virtual world, a three-dimensional risk map ; and display , using a display device of the vehicle, the 3D risk map comprising the superimposed respective point clouds. <EOS>