jianqiang03 Goto Github PK

a-loam

Advanced implementation of LOAM

a-loam-noted

aanet

AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020

ai-notebooks

📚 Some notebooks implementing AI algorithms

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

apollo

An open autonomous driving platform

autoware

Open-source software for self-driving vehicles

avod

Code for 3D object detection for autonomous driving

blam

cartographer_detailed_comments_ws

cartographer work space with detailed comments

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

darknet-kitti

Revised version of YOLOv2 and YOLOv3 for KITTI dataset

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dotfiles

My config files

dynamixel-workbench

ROS Packages for Dynamixel Workbench

ekf_state_estimation

A python implementation of es_ekf for state estimation

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

hdl_graph_slam

3D LIDAR-based Graph SLAM

leetcode

A leetcode conclusion

libgtsam

GTSAM 3.2.1 ported to Ubuntu 16.04 with boost 1.58 and Eigen 3.3.3beta

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

lio-sam

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

lio-sam-noted

moveit

:robot: The MoveIt! motion planning framework

msckf_mono

Monocular MSCKF ROS Node

orbslam3_noted

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving