Pinned Repositories
2.5D_DATMO
2.5D Grid-based Detection and Tracking of Moving Objects (DATMO)
3D-Lidar-Multiple-Obstacle-Tracking
This code is used to detect obstacles using a 3D Lidar
3D-Semantic-Segmentation-for-Scene-Parsing
A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method
3DmFV-Net-MATLAB
A MATLAB implementation of 3DmFV-Net
ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
BachGAN
BDL
BoMuDA-Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-Environments
Codebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'
CenterPoint
object_detection_tracking
object detection and tracking (velodyne LiDAR)
torchlidar's Repositories
torchlidar/object_detection_tracking
object detection and tracking (velodyne LiDAR)
torchlidar/3D-Lidar-Multiple-Obstacle-Tracking
This code is used to detect obstacles using a 3D Lidar
torchlidar/BachGAN
torchlidar/BDL
torchlidar/BoMuDA-Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-Environments
Codebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'
torchlidar/CenterPoint
torchlidar/CVPR2020-Paper-Code-Interpretation
cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理
torchlidar/Det3D
A general 3D object detection codebse.
torchlidar/DLOW
torchlidar/dynamic-occupancy-grid-map
Implementation of A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
torchlidar/e3d
Efficient Methods for 3D Deep Learning
torchlidar/EffectivePyTorch
PyTorch tutorials and best practices.
torchlidar/Ground-Removal-K-Means-Clustering-and-EKF
Ground Filter, Clustering, Extended Kalman Filter on 3d Lidar Pointcloud
torchlidar/lidar_generation
Code for "Deep Generative Models for LiDAR Data"
torchlidar/lidar_image_projection
torchlidar/object_detection
torchlidar/odas
ODAS: Optimization-based Detection of Architectural Symmetries
torchlidar/P2B
P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
torchlidar/pillar-od
torchlidar/PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
torchlidar/PointTrack
PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
torchlidar/Pseudo_Lidar_V2
(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
torchlidar/rain-rendering
Rain Rendering for Evaluating and Improving Robustness to Bad Weather (Tremblay et al., 2020) (S. S. Halder et al., 2019)
torchlidar/RTFNet
RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes
torchlidar/scancontext
Global LiDAR descriptor for place recognition and long-term localization
torchlidar/SF-UDA-3DV
Official PyTorch implementation of the 3DV 2020 paper "SF-UDA^{3D}: Source-Free Unsupervised Domain Adaptation for LiDAR-based 3D Object Detection"
torchlidar/VelodyneLidarViewer
Velodyne Lidar Viewer For Unity
torchlidar/Waymo-Dataset-Tool
A tool to download waymo open dataset (https://github.com/waymo-research/waymo-open-dataset) and convert it from TFrecord to general format
torchlidar/waymo_kitti_converter
A toolkit for Waymo Open Dataset <-> KITTI conversions
torchlidar/waymo_ros
This is a ROS package to connect Waymo open dataset to ROS