WebOur WoodScape dataset provides labels for several autonomous driving tasks including semantic segmentation, monocular depth estimation, object detection (2D & 3D bounding boxes), visual odometry, visual SLAM, motion segmentation, soiling detection and end-to-end driving (driving controls). In addition to providing fisheye data, we provide data ... WebFisheye object detection is a difficult task in robotics and autonomous driving. One of the reasons is that the fisheye datasets are inferior to standard image datasets in scale and …

[2003.03759] Monocular 3D Object Detection in Cylindrical

WebFisheye object detection is a difficult task in robotics and autonomous driving. One of the reasons is that the fisheye datasets are inferior to standard image datasets in scale and quantity, which inspires the idea of using standard image datasets for fisheye object detection. However, the models trained on standard image datasets do not perform well … WebJun 4, 2024 · The competition has ended on June 5, 2024 and we congratulate all participants for their effort. The top 3 teams, GroundTruth, heboyong, and IPIU-XDU were announced and the winning team, GroundTruth, presented their method at the CVPR OmniCV 2024 Workshop on June 20, 2024. We have added the post-challenge paper on … highlights new york

FireEye · GitHub

WebRecently, it has been explored for various tasks such as object detection [12], [13], soiling detection [14], [15], motion segmentation [16], road edge detection [17], weather … WebDec 11, 2024 · We present the first detailed study on object detection on fisheye cameras for autonomous driving scenarios to the best of our knowledge. The dataset comprising … WebFeb 27, 2024 · We also extend object detection to use curved boxes, and polygons as a bounding box is not a good representation for distorted fisheye images. We additionally evaluate our model on standard ... highlights new zealand ireland