Fisheye/Omnidirectional View in Autonomous Driving
•Graph-Based Classification of Omnidirectional Images
•Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery
•Spherical CNNs
•Scene Understanding Networks for AD based on Around View Monitoring System
•Eliminating the Blind Spot: Adapting 3D Object Detection and Mono Depth Estimation to 360◦ Panoramic Imagery
•SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images
•FisheyeMODNet: Moving Object detection on Surround-view Cameras for AD
•OmniDRL: Robust Pedestrian Detection using DRL on Omnidirectional Cameras
•WoodScape: A multi-task, multi-camera fisheye dataset for AD
•FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Mono Fisheye Camera for AD