Intelligent Transportation Systems (ITS) enabled with LiDAR and sensor fusion technology can provide critical information to increase road safety. Traffic monitoring systems can enable these changes through the collection of accurate and real-time detection and tracking information, but require consistent performance in all environmental conditions. Recent developments in LiDAR technology have opened new opportunities in autonomous vehicles, smart infrastructure, and surveillance. With high 3D accuracy and performance across adverse lighting and weather conditions compared to cameras alone, LiDAR stands to become commonplace in ITS applications. To further traffic monitoring systems, sensor fusion leverages complementary characteristics from multiple sensors to enhance detection performance in challenging conditions. However, many existing perception frameworks require prohibitively expensive computer hardware for widespread deployment and to achieve real-time performance. This paper presents the following contributions (1) a real-time multi-object detection and tracking pipeline using camera-LiDAR fusion, (2) Center for Mechatronics and Hybrid Technologies (CMHT) Traffic Dataset containing synchronized camera and LiDAR data. The proposed fusion framework is evaluated on the real-world CMHT Traffic Dataset, achieving a +3 Higher Order Tracking (HOTA) score compared to LiDAR or camera only.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Camera-LiDAR Fusion Framework for Traffic Monitoring


    Beteiligte:


    Erscheinungsdatum :

    19.06.2024


    Format / Umfang :

    3045483 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reliable Infrastructural Urban Traffic Monitoring Via Lidar and Camera Fusion

    Liu, Hangxin / Furukawa, Tomonari / Tian, Yi | SAE Technical Papers | 2017


    Reliable Infrastructural Urban Traffic Monitoring Via Lidar and Camera Fusion

    Tian, Yi / Liu, Hangxin / Furukawa, Tomonari | British Library Conference Proceedings | 2017


    LIDAR-Camera Fusion Where LIDAR and Camera Validly See Different Things

    BLAU CHAIM / SPRINGER OFER / ROSENBLUM KEVIN et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    LIDAR-camera fusion where LIDAR and camera validly see different things

    BLAU CHAIM / SPRINGER OFER / ROSENBLUM KEVIN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Deep fusion of camera and LIDAR

    Schneider, Nick | TIBKAT | 2023

    Freier Zugriff