labimage

3d-bat

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

AVP-SLAM-PLUS

An implementation of AVP-SLAM and some new contributions

awesome-clothed-human

A collection of awesome resources clothed people including human digitalization, virtual try-on, and other related directions.

ByteTrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Clothoids

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

faster

3D Trajectory Planner in Unknown Environments

fiery

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

fisheyeStitcher

Dual-fisheye stitching

GraphGNSSLib

An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

HDMapNet

LaneGCN

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

lt-mapper

A Modular Framework for LiDAR-based Lifelong Mapping

ManhattanSLAM

A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.

MapFormat

这里用来保存地图相关的数据格式文档，包括OpenDrive等格式。

multi_sensor_calibration

openvslam-1

This is a community fork of https://github.com/xdspacelab/openvslam

plycal

Extrinsic calibration of the camera and LiDAR via polygon plane

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

rootba

Square Root Bundle Adjustment for Large-Scale Reconstruction

Structural-and-Non-structural-line

comparison of plucker parameter representation and the parameter representation proposed by ours

transfuser

[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

VINS-GPS-Wheel

VIW-Fusion

Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light

YOLOP

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

YOLOv5_DOTA_OBB

YOLOv5 in DOTA with CSL_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于YOLOv5的旋转目标检测

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.