Object detection algorithms, as an essential component of intelligent driving systems, play a crucial role in ensuring the safe operation of vehicles. However, achieving precise detection and safe decision-making still poses significant challenges due to the dynamic nature of intelligent driving scenarios and the diversity of objects to be detected. Existing three-dimensional object detection methods typically focus on data correlation, with most improvement efforts directed towards innovating the overall network model while overlooking the correlation between real three-dimensional scenes and the objects to be detected. In this context, we propose a road scene-driven three-dimensional object detection algorithm that leverages road scene information as prior knowledge. When conducting three-dimensional object detection, current road scene information can first be obtained through existing intelligent traffic systems. Subsequently, adaptive fusion of different resolution global region depth fusion features is performed based on different road categories and congestion levels to enhance the representation ability of these fusion features for effective target-related information in complex scenes. Finally, three-dimensional object detection is carried out using these fusion features.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on Adaptive 3D Object Detection Algorithm of Road Scene for Intelligent Driving


    Contributors:


    Publication date :

    2024-10-23


    Size :

    1084759 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    AggNet: Simple Aggregated Network for Real-Time Multiple Object Detection in Road Driving Scene

    Wont, Woong-Jae / Kim, Tae Hun / Choi, Min-Kook et al. | IEEE | 2018


    Lane identification optimization method for intelligent driving system in bifurcated road scene

    ZHANG JIANGANG / MA WENFENG / WANG ZIJUN et al. | European Patent Office | 2023

    Free access

    Scene-Adaptive Off-Road Detection Using a Monocular Camera

    Mei, Jilin / Yu, Yufeng / Zhao, Huijing et al. | IEEE | 2018


    All-weather monocular depth estimation algorithm applied to intelligent driving scene

    WU XIAOCHUANG / QI HONGLEI / SONG JINXIANG et al. | European Patent Office | 2024

    Free access

    Awareness of Road Scene Participants for Autonomous Driving

    Prof. Petrovskaya, Anna / Dr. Perrollaz, Mathias / Dr. Oliveira, Luciano et al. | Springer Verlag | 2012