[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

[CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

BEVFusion implementation in ROS2

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.

Evaluation code for KITTI

GAC3D: Improving Monocular 3D Object Detection with Ground-Guide Model and Adaptive Convolution (PeerJ)

Sensor fusion module for 3D Object Tracking. The project uses a combination of Lidar and Camera data for making an estimation of the distance for the preceding vehicle.