The design and development of autonomous vehicles ensure to move safely on roads while focusing on pedestrian detection systems has brought convention so that pedestrians can be detected quickly and precisely. Moreover, the researchers have mentioned that pedestrian skin detection has proven to be a tough challenge since the color of the skin can vary in appearance due to various factors such as weather conditions, sun lighting, occlusion, race, etc. Our proposed methodology, the radar-camera fusion technique, is used to predict the obstacle in any scenario. A convolution neural network extracts pedestrian features from RGB images and radar data. Also, we have introduced data preparation and feature extraction. We feature mapping to get more detection accuracy and clustering to find the similarities between features that will attain darker skin pedestrian details.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time pedestrian detection using radar-camera fusion and clustering


    Beteiligte:

    Kongress:

    Multimodal Image Exploitation and Learning 2023 ; 2023 ; Orlando, Florida, United States


    Erschienen in:

    Proc. SPIE ; 12526


    Erscheinungsdatum :

    15.06.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    CAMERA-RADAR FUSION USING CORRESPONDENCES

    MICHIELIN FRANCESCO / VOGEL OLIVER | Europäisches Patentamt | 2023

    Freier Zugriff

    Camera Based Pedestrian Detection

    Schiele, Bernt / Wojek, Christian | Springer Verlag | 2015


    Real-time vision based pedestrian detection

    Ma, Guanglin | Tema Archiv | 2010


    Pedestrian detection using a single-monochrome camera

    Ma, G. / Mu¨ller, D. / Park, S.-B. et al. | IET | 2009