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dilation

Dilated Convolution for Semantic Image Segmentation

dl-lane-detection

车道线识别项目

dreamcar

unmaned drving project

ds-slam

dsm

Direct Sparse Mapping

dso

dso个人注释版

ethzasl_msf

MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

gtsam-examples

GTSAM Tutorial Examples

hed

code for Holistically-Nested Edge Detection

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

iai_kinect2

Tools for using the Kinect One (Kinect v2) in ROS

ice-ba

icnet-tensorflow

An implementation of ICNet (Real-time image segmentation) in tensorflow, containing train/test phase, see tutorial at:

imu_utils

A ROS package tool to analyze the IMU performance.

ipmslam

slam of roads with IPM

jc-net

semantic segmentation

keras-segnet

SegNet model implemented using keras framework

kimera

Index repo for Kimera code

lane-detection

C++ program that identifies and tracks lanes and their intersection. Can be used for autonomous driving features such as lane changing, blindspot detection, hill crest detection, turn detection and sign recognition.

learning_ros_for_robotics_programming

Code and examples!!!

learning_ros_for_robotics_programming_2nd_edition

Code and examples for Learning ROS for Robotics Programming - 2nd Edition

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785

limo

Lidar-Monocular Visual Odometry

lio-mapping

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

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loam_velodyne-1

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

machinelearning

Machine Learning in Action（机器学习实战）