gaowc1990

gaowc1990's Stars

• YJZLuckyBoy/liorf

  This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.

  Language:C++42689

• mit-acl/mppi_numba

  A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.

  Language:Jupyter Notebook20119

• TixiaoShan/LVI-SAM

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

  Language:C++1.6k462

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2.2k139

• robot-learning-freiburg/LCDNet

  PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc

  Language:Python18023

• dconstruct-tech/dash-sdk

  d.ASH - Digital Autonomy Services Hub, a High Performance Robot Autonomy Stack for remote operational requirements

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• nicrip/VelodyneHDL

  :octocat: A Minimal Driver for Velodyne HDL-32E/64E VLP-16 Lidars

  Language:C++4918

• AbnerCSZ/lidar2rosbag_KITTI

  A simple way to convert KITTI LiDAR data to rosbag.

  Language:C++12543

• niessner/BundleFusion

  [Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

  Language:C++1.5k354

• ThomasWestfechtel/StairwayDetection

  Repository for Stairway Detection using PointCloud Data

  Language:C++3010

• mseln/aeplanner

  An autonomous exploration planner for large scale 3D environments

  Language:C++10728

• margaridaCF/FlyingOctomap_code

  An implementation of different algorithms over this datastructure. Just code.

  Language:Jupyter Notebook4512

• TixiaoShan/LIO-SAM

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

  Language:C++3.6k1.3k

• autowarefoundation/autoware

  Autoware - the world's leading open-source software project for autonomous driving

  Language:Dockerfile9.3k3.1k

• epan-utbm/utbm_robocar_dataset

  EU Long-term Dataset with Multiple Sensors for Autonomous Driving

  Language:C++22933

• carla-simulator/imitation-learning

  Repository to store conditional imitation learning based AI that runs on CARLA.

  Language:Python445124

• udacity/robot_pose_ekf

  The robot_pose_ekf ROS package applies sensor fusion on the robot IMU and odometry values to estimate its 3D pose.

  Language:C++379133

• KumarRobotics/ublox

  A driver for ublox gps

  Language:C++458392

• colmap/colmap

  COLMAP - Structure-from-Motion and Multi-View Stereo

  Language:C++8k1.6k

• diegoavillegasg/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation

  State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).

  Language:Python21638

• UZ-SLAMLab/ORB_SLAM3

  ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

  Language:C++6.8k2.6k

• onlytailei/CppRobotics

  cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

  Language:C++1.9k506

• koide3/monocular_person_following

  Monocular camera-based person tracking and identification ROS framework for person following robots

  Language:C++19749

• sijanz/robust_people_follower

  A ROS package for robust following of a person

  Language:C++275

• spencer-project/spencer_people_tracking

  Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

  Language:C++682327

• nianticlabs/footprints

  [CVPR 2020] Estimation of the visible and hidden traversable space from a single color image

  Language:Python22023

• anglixjtu/msg_chn_wacv20

  The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"

  Language:Python818

• JiaxiongQ/DeepLiDAR

  Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)

  Language:Python24951

• fangchangma/self-supervised-depth-completion

  ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

  Language:Python634134

• joshmcculloch/lidar-camera-fusion

  Language:C++6136