shawrby

CurveLanes

CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

RVLD

Official code for "Recursive Video Lane Detection", ICCV 2023

DMSTrack

[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"

V2V4Real

[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"

Real-time-segmentation

awesome-lane-detection

A paper list of lane detection.

conformer

[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

OpenDPD

OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.

multi-object-filters

Implementation of several point-process-based multi-object filters (trackers)

Fusion_2023_Wolf_T2TA

Track-to-Track Association based on Stochastic Optimization

fast_gicp

A collection of GICP-based fast point cloud registration algorithms

NTU4DRadLM

NTU 4D Radar-centric Multi-Modal Dataset for Localization and Mapping (NTU4DRadLM)

4DRadarSLAM

Awesome-Radar-Camera-Fusion

Radar Camera Fusion in Autonomous Driving

Dual-Radar

detr3d

RadarGNN

A graph neural network for the segmentation and object detection in radar point clouds.

radar-camera-fusion-depth

Depth Estimation from Camera Image and mmWave Radar Point Cloud

ZF-4DRadar-Dataset

ZF 4D Radar Dataset for Autonomous Driving

python-for-coding-test

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

bbox-utils

Utilities for working with 2D and 3D bounding boxes.

REDFormer

[ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion

goggles

A radar-based linear velocity estimation ROS package

med-seg-diff-pytorch

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

FAST_LIO_SLAM

LiDAR SLAM = FAST-LIO + Scan Context

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, M-LOAM, LOCUS, SLICT, MA-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

CMFlow

[CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

reve

REVE - Radar Ego Velocity Estimator: Robust 3D ego velocity estimation using 4D mmWave radar sensors.

rio

RIO - EKF-based Radar Inertial Odometry using 4D mmWave radar sensors

FAST_LIO

A computationally efficient and robust LiDAR-inertial odometry (LIO) package