Jun10

followers

following

stars

Lucid

Jun's starred repositories

3D_Lane_Synthetic_Dataset

This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.

Language:Python14200

Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

Language:LuaMIT103800

conditional-lane-detection

Language:PythonApache-2.038300

lanenet

LaneNet - Lane Detection Using Neural Networks

300

Lane_Detection-An_Instance_Segmentation_Approach

An unofficial implementation of the paper "Towards End-to-End Lane Detection: an Instance Segmentation Approach".

Language:PythonMIT5400

Self-Driving-Cars

Coursera Open Courses from University of Toronto

Language:Jupyter Notebook97800

Hierarchical-Localization

Visual localization made easy with hloc

Language:PythonApache-2.0301400

colmap

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

Language:C++NOASSERTION726700

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Language:Shell4962100

ShiYanLou

学习C & C++ & python&汇编语言 LLVM编译器数据结构算法操作系统单片机 linux 面试

Language:C275700

LDSO

DSO with SIM(3) pose graph optimization and loop closure

Language:C++GPL-3.065100

SLAM-application

LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

Language:PythonBSD-3-Clause65600

Awesome-3D-Occupancy-Prediction

Vision-based 3D occupancy prediction in autonomous driving: a review and outlook

S-FAST_LIO

A simplified implementation of FAST_LIO (with Chinese note)

Language:C++39500

LIO-SAM-DetailedNote

LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS

Language:C++BSD-3-Clause48800

LIO-SAM-note

lio-sam代码注释

Language:C++BSD-3-Clause13200

awesome-lidar

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

CC0-1.086800

pytorch-auto-drive

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Language:PythonBSD-3-Clause82700

UniAD

[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving

Language:PythonApache-2.0318800

DDRNet

The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

Language:PythonMIT39600

semseg

Semantic Segmentation in Pytorch

Language:PythonMIT132400

ORB_SLAM2_SSD_Semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

Language:C++141500

semantic_slam

Real time semantic slam in ROS with a hand held RGB-D camera

Language:C++GPL-3.062000

DSP-SLAM

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Language:C++GPL-3.051300

VIDO-SLAM

VIDO-SLAM is a Visual Inertial SLAM system for dynamic environments, and it can also estimate dynamic objects motion and track objects.

Language:C++18600

Semantic_SLAM-1

Semantic SLAM using ROS, ORB SLAM, PSPNet101

MIT100

object_map

Representing and updating object identities in semantic SLAM

Language:PythonMIT2100

SALSA-Semantic-Assisted-SLAM

SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)

Language:C++BSD-3-Clause7100

sloam

Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)

Language:C++NOASSERTION20300

Cam2BEV

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Language:PythonMIT69800