object detection
-
Updated
Aug 6, 2019 - Python
object detection
A New 3D Detector. Code Will be made public.
A tool to visualize nuscenes format dataset in 3D using mayavi
Lane detection program (Python) for the nuScenes mini dataset
Moving vehicle detection system that focusses on clustering and uses the capabilities of existing vision approaches.
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
3D object detection on the nuScenes dataset
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
Fusion of LiDAR and depth camera data with deep learning for object detection and classification
This repo parallelizes mAP_evaluation using python's multiprocessing module.
NuScenes, Lyft, Waymo and a2d2 datasets parser.
Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.
CenterFusion++ is a frustum propsal-based camera and radar sensor fusion network.
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
SECOND for KITTI/NuScenes object detection
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
Add a description, image, and links to the nuscenes topic page so that developers can more easily learn about it.
To associate your repository with the nuscenes topic, visit your repo's landing page and select "manage topics."