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pointpillars

A Simple PointPillars PyTorch Implenmentation for 3D Lidar(KITTI) Detection.

pointslot

An open source system for simultaneous localization and object tracking in dynamic environment

pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

python-vo

A simple python implemented frame by frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.

removert

Remove then revert (IROS 2020)

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

rngdetplusplus

Official repo of paper RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement

road-boundary-edge-curb-detection

road_connectivity

Improved Road Connectivity by Joint Learning of Orientation and Segmentation (CVPR2019)

roecs

A Robust semi-direct Pipeline Towards Online Extrinsics Correction for the Surround-view System

sam_road

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

sc-lio-sam

LiDAR-inertial SLAM: Scan Context + LIO-SAM

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

sensor-fusion

Sensor Fusion for Localization & Mapping

sensorscalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

shenlan-laser-slam-2d

深蓝学院激光slam第三期作业

street-gaussians-ns

Unofficial implementation of "Street Gaussians for Modeling Dynamic Urban Scenes"

svo_edgelet

A more robust SVO with edgelet feature

tinygrapekit

A bunch of state estimation algorithms

traversability_mapping

Bayesian Generalized Kernel Inference for Terrain Traversability Mapping

velo2cam_calibration

Automatic Calibration algorithm for Lidar-Stereo camera. ROS Package.

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

viw-fusion

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

voxelmap

[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry