This paper intends to analyze the Light Detection and Ranging (Lidar) sensor performance on detecting pedestrians under different weather conditions. Lidar sensor is the key sensor in autonomous vehicles, which can provide high-resolution object information. Thus, it is important to analyze the performance of Lidar. This paper involves an autonomous bus operating several pedestrian detection tests in a parking lot at the University at Buffalo. By comparing the pedestrian detection results on rainy days with the results on sunny days, the evidence shows that the rain can cause unstable performance and even failures of Lidar sensors to detect pedestrians in time. After analyzing the test data, three logit models are built to estimate the probability of Lidar detection failure. The rainy weather still plays an important role in affecting Lidar detection performance. Moreover, the distance between a vehicle and a pedestrian, as well as the autonomous vehicle velocity, are also important. This paper can provide a way to improve the Lidar detection performance in autonomous vehicles.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Performance Test of Autonomous Vehicle Lidar Sensors Under Different Weather Conditions


    Additional title:

    Transportation Research Record


    Contributors:
    Tang, Li (author) / Shi, Yunpeng (author) / He, Qing (author) / Sadek, Adel W. (author) / Qiao, Chunming (author)


    Publication date :

    2020-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving

    Bijelic, Mario / Gruber, Tobias / Ritter, Werner | IEEE | 2018


    Analysis of LiDAR and Camera Data in Real-World Weather Conditions for Autonomous Vehicle Operations

    Abdel-Qader, Ikhlas / Rojas, Johan / Omwanas, Mark et al. | SAE Technical Papers | 2020


    Analysis of LiDAR and Camera Data in Real-World Weather Conditions for Autonomous Vehicle Operations

    Goberville, Nick / El-Yabroudi, Mohammad / Omwanas, Mark et al. | British Library Conference Proceedings | 2020


    Lidar sensors for autonomous driving

    Schleuning, David / Droz, Pierre-Yves | SPIE | 2020


    Analysis of LiDAR and Camera Data in Real-World Weather Conditions for Autonomous Vehicle Operations

    Goberville, Nick / El-Yabroudi, Mohammad / Omwanas, Mark et al. | British Library Conference Proceedings | 2020