Abstract: A simulation test method based on a rotating prism Lidar and a device thereof are provided. The simulation test method based on the rotating prism Lidar includes: obtaining a scanning trajectory model of a Lidar signal on an imaging plane, and the Lidar signal is emitted by a rotating prism Lidar; acquiring an attenuation coefficient of the Lidar signal propagating in a preset weather environment, and determining an echo signal model of the Lidar signal in the preset weather environment according to the attenuation coefficient; performing a simulation test on the rotating prism Lidar based on the scanning trajectory model and the echo signal model, and achieving the simulation test on a working process of the rotating prism Lidar.

Abstract: A system for testing intelligent vehicles, including a test bench, a hardware-in-the-loop sub-system, a software-in-the-loop sub-system, a target-in-the-loop sub-system and a test management platform. The test bench is configured to simulate the resistance of the actual road according to the road resistance parameters, and simulate the posture of the actual road according to the road posture parameters.

Abstract: A system for testing intelligent vehicles, including a test bench, a hardware-in-the-loop sub-system, a software-in-the-loop sub-system, a target-in-the-loop sub-system and a test management platform. The test bench is configured to simulate the resistance of the actual road according to the road resistance parameters, and simulate the posture of the actual road according to the road posture parameters.

Abstract: Provided are a method and a device for constructing autonomous driving test scenes, a terminal and a readable storage media. Primitive scenes are extracted from real traffic scenes to establish a primitive scene description model. The values of the description variables are selected from distribution intervals of the description variables of the primitive scenes, and the description variables are randomly sampled based on the distribution of the description variables to generate test primitive scenes by adopting an importance sampling based Monte Carlo method. The test primitive scenes are recombined according to the parameters of the elements of the test scene to generate the test scene. The present invention can directly simulate the actual complex system, so as to avoid the result distortion caused by the simplification of the complex system.

Abstract: Provided are a method and a device for constructing autonomous driving test scenes, a terminal and a readable storage media. Primitive scenes are extracted from real traffic scenes to establish a primitive scene description model. The values of the description variables are selected from distribution intervals of the description variables of the primitive scenes, and the description variables are randomly sampled based on the distribution of the description variables to generate test primitive scenes by adopting an importance sampling based Monte Carlo method. The test primitive scenes are recombined according to the parameters of the elements of the test scene to generate the test scene. The present invention can directly simulate the actual complex system, so as to avoid the result distortion caused by the simplification of the complex system.