Lidar Sensor Modeling for ADAS Application under a Virtual Driving Environment

作者单位：Jinlin University， SAIC Motor Corporation Limited Passenger

发表期刊：SAE-TONGJI Driving Technology of Intelligent Vehicle Symposium, 2016

摘要：LiDAR sensors have played more and more important role on Intelligent and Connected Vehicles (ICV) and Advanced Driver Assistance Systems (ADAS). However, the development and testing of LiDAR sensors under real driving environment for ADAS applications are greatly limited by various factors, and often are impossible due to safety concerns. This paper proposed a novel functional LiDAR model under virtual driving environment to support development of LiDAR-based ADAS applications under early stage. Unlike traditional approaches on LiDAR sensor modeling, the proposed method includes both geometrical modeling approach and physical modeling approach. While geometric model mainly produces ideal scanning results based on computer graphics, the physical model further brings physical influences on top of the geometric model. The range detection is derived and optimized based on its physical detection and measurement mechanism. The model has been incorporated into PanoSim and proved to be valid and effective. A simulation of Autonomous Emergency Braking (AEB) feature is performed under PanoSim to verify the proposed model.

关键词：Scale models, Driver assistance systems, Autonomous vehicles, Simulation and modeling, Lidar, Sensors and actuators