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Found 5 papers, 2 papers with code
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications.
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics.
Ranked #6 on
3D Multi-Object Tracking
on KITTI
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance.
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
For instance, they do not capture the extensive variability in the appearance of objects like vehicles present in real datasets.
