LiDAR Sensor Modeling for ADAS Applications under a Virtual Driving Environment ASCL, Jilin University

Format:

Conference/Event

Author/Creator:

Li, Li, author.

Contributor:

Deng, Weiwen

Jiang, Lijun

Li, Xin

Liu, Zhenyi

Wang, Ying

Conference Name:

SAE-TONGJI 2016 Driving Technology of Intelligent Vehicle Symposium (2016-09-22 : Shanghai, China)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2016

Summary:

AbstractLiDAR 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

Notes:

Vendor supplied data

Publisher Number:

2016-01-1907

Access Restriction:

Restricted for use by site license