Pinned Repositories
3Dpanoramic
Real-Time Intelligent Vehicle System with 3D Panoramic Video and Pedestrian Dectection
lidar_projection
3d lidar point cloud 2d image projection in python.
MV3D-Pytorch
Occupancy-Grid-FastSLAM
Simulator for FastSLAM with Occupancy Grid Maps. Currently being updated.
OpenHDMap
An open HD Map production process for autonomous car simulation
RoarNet
Sensor_Fusion
Detect obstacles in lidar point clouds through clustering and segmentation. Apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to perceive the world around a vehicle and track objects over time.
Spacemacs-rocks
Happy Hacking Emacs & Spacemacs (Simplified Chinese)
VoxelNet_CVPR_2018_PointCloud
A PyTorch implementation of the paper “VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection"
YOLO-V3-Kitti
Train YOLO-V3-Kitti
collector-m's Repositories
collector-m/ALSO
ALSO: Automotive Lidar Self-supervision by Occupancy estimation
collector-m/autoware.universe
collector-m/BEVDepth
Official code for BEVDepth.
collector-m/BEVDet-
Official code base of the BEVDet series .
collector-m/BEVDet-ROS-TensorRT
BEVDet online real-time inference using CUDA, TensorRT, ROS1 & C++.
collector-m/BEVFormer
This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
collector-m/BEVFusion-ROS-TensorRT
BEVFusion-ROS-TensorRT-CPP real time inference including ros1 & ros2.
collector-m/bevfusion_
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
collector-m/CVPR2023-3D-Occupancy-Prediction
CVPR2023-Occupancy-Prediction-Challenge
collector-m/daily_learning
code
collector-m/DifFUSER
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
collector-m/excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
collector-m/FastBEV-ROS-TensorRT
FastBEV-ROS-TensorRT-CPP real time inference including ros1 & ros2
collector-m/FB-BEV
FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithm based on forward-backward view transformation strtegies.
collector-m/Forge_VFM4AD
A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
collector-m/futr3d
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
collector-m/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
collector-m/LoGoNet
[CVPR2023] LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion.
collector-m/M3Net
Multi-Space Alignments Towards Universal LiDAR Segmentation
collector-m/Occ3D
collector-m/OccNet-Course
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/
collector-m/OpenOccupancy
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
collector-m/pulan_project
主要放置实习开发项目文档
collector-m/RadarVoxelFusionNet
collector-m/Sparse4D
Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion
collector-m/TAD_Sim
腾讯自动驾驶仿真系统 TAD Sim (Tencent Autonomous Driving Simulation) 单机版是腾讯自动驾驶以建立更加安全和高效的自动驾驶测试工具为目标, 为自动驾驶系统研发和验证而量身定做的跨平台分布式系统.
collector-m/TPVFormer
An academic alternative to Tesla's occupancy network for autonomous driving.
collector-m/UniAD
Goal-oriented Autonomous Driving
collector-m/VoxFormer
A Cutting-edge Baseline for 3D Semantic Occupancy Prediction
collector-m/VoxSeT
Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds (CVPR 2022)