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 (502, 508, 510) 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 (502, 508, 510) 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 (502, 508, 510) 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.