An apparatus includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to apply, based on a positional encoding model, a first feature conditioning module to a set of bird's eye view (BEV) position data features corresponding to position data to generate a set of conditioned BEV position data features, and apply, based on the position encoding model, a second feature conditioning module to a set of perspective image data features corresponding to image data to generate a set of conditioned perspective image data features. The processing circuitry is also configured to generate, based on the positional encoding model, the set of conditioned BEV position data features, and the set of conditioned perspective image data features, a weighted summation. Additionally, the processing circuitry is configured to generate, based on the weighted summation, a set of BEV image data features.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    IMAGE AND LIDAR ADAPTIVE TRANSFORMER FOR FUSION-BASED PERCEPTION


    Beteiligte:

    Erscheinungsdatum :

    20.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / H04N PICTORIAL COMMUNICATION, e.g. TELEVISION , Bildübertragung, z.B. Fernsehen / G01S RADIO DIRECTION-FINDING , Funkpeilung



    LiDAR Imaging-based Attentive Perception

    Tsiourva, Maria / Papachristos, Christos | IEEE | 2020


    Roadside LiDAR for C-ITS: placement, calibration, and fusion of perception

    Changlong Zhang / Wei Zhou / Zhichao Liu et al. | DOAJ | 2025

    Freier Zugriff

    Road perception and road line detection based on fusion of LiDAR and camera

    Fan, Yimei / Yu, Xin / Xu, Nana et al. | SPIE | 2022


    Spatio-Temporal Fusion of LiDAR and Camera Data for Omnidirectional Depth Perception

    Zhang, Linlin / Yu, Xiang / Adu-Gyamfi, Yaw et al. | Transportation Research Record | 2023


    LiDAR-PDP: A LiDAR-Based Panoptic Dynamic Driving Environment Perception Algorithm

    Wang, Hai / Li, Jianguo / Cai, Yingfeng et al. | IEEE | 2025