Pinned Repositories
apollo
An open autonomous driving platform
Autoware
Open-Source To Self-Driving.
blam
blam_slam
CAE-LO
Convolutional Auto-Encoder based LiDAR Odometry
calibration-lidar-stereo
-_-
EKF-SLAM-on-Manifold
EKF-SLAM using Lie Group
ENFT
Efficient Non-Consecutive Feature Tracking for Robust SfM
openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
ORB-VINS_RK4
LearnVIORB by using Runge Kutta 4th Order Integration On Manifold
szm88's Repositories
szm88/blam
szm88/EKF-SLAM-on-Manifold
EKF-SLAM using Lie Group
szm88/ENFT
Efficient Non-Consecutive Feature Tracking for Robust SfM
szm88/openMVG
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
szm88/ORB-VINS_RK4
LearnVIORB by using Runge Kutta 4th Order Integration On Manifold
szm88/calibration-lidar-stereo
-_-
szm88/CurvedLaneDetection
An old experimental implementation of curved lane detection using OpenCV, RANSAC, DBSCAN etc
szm88/deep-learning-traffic-lights
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
szm88/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
szm88/driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
szm88/ekfmonoslam
SLAM using a monocular camera, optionally an IMU, and GPS
szm88/GNSS_SINS
szm88/gpsCalibration
A meter level precision GPS calibrator for out-door robots by fusion sensors of GPS satellite, point cloud, IMU and others. SLAM, various stochastic process models, point set registration, and Kalman filter are used.
szm88/ILCC
Intensity-based_Lidar_Camera_Calibration
szm88/lidar_body_tracking
ROS Catkin package to track people using ortree and cluster extraction
szm88/lidar_camera_calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera
szm88/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
szm88/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
szm88/Object-Tracking-using-UKF-by-Fusing-Lidar-and-Radar
Object Tracking using UKF by Fusing Lidar and Radar Data
szm88/precision-tracking
Repository for precision tracking from 3D point clouds
szm88/Preintegration_VINS
szm88/segmatch
A 3D segment based loop-closure algorithm
szm88/slidingWindow_msckf
Still under constrution
szm88/stereo_dso
szm88/Structure-From-Motion-form-Line-Points
A collection of algorithms that uses points and lines features to estimate camera poses in 1, 2 or 3 views
szm88/tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
szm88/vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
szm88/velodyne_detect_person
ROS people detection for 3D point clouds using Velodyne devices
szm88/Velodyne_ObjectDetection_ROS
This code is object detection code using velodyne. Object points are extracted from background points that is set in initialize step.
szm88/vi_sensor_sdk_Source
PC开发板传感器-SDK-源代码