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mihomo

A simple Python Pydantic model for Honkai: Star Rail parsed data from the Mihomo API.

xtreme1

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

SUSTechPOINTS

3D Point Cloud Annotation Platform for Autonomous Driving

OpenAnnotate3D

OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

apollo-model-yolo3d

[Apollo] This is the implementation of yolox3d second stage, a camera 3D object detection for autonomous driving perception.

YOLOX-ROS

YOLOX + ROS2 object detection package (C++ only support)

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

lidar_perception

A lidar perception system, including ground-filter, cluster, minbox, tracking and state estimation.

lidarObstacleDetect

CVPR2023-3D-Occupancy-Prediction

CVPR2023-Occupancy-Prediction-Challenge

FlashOCC

FG-PFE

[ICRA2024] FG-PFE: Fine-Grained Pillar Feature Encoding via Spatio-Temporal Virtual Grid for 3D Object Detection

PillarNeSt

The Official Implementation of PillarNeSt

pillarnext

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

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,).

model_anostic

[ICRA2023] The official implementation of paper "Model-agnostic Multi-agent Perception"

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

3DTrans

An open-source codebase for exploring autonomous driving pre-training

CenterPoint

labelCloud

A lightweight tool for labeling 3D bounding boxes in point clouds.

CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

PointPillars

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

Prioritized-Human-in-the-loop-End-to-end-Autonomous-Driving

(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tianshou

An elegant PyTorch deep reinforcement learning library.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Motion-Planning-for-Mobile-Robots

Hybrid_A_Star

第二章. 2.4.3小节. 混合A星算法实现路径决策并呈现结果