Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details

All Projects → maudzung → Awesome Autonomous Driving Papers

maudzung / Awesome Autonomous Driving Papers

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

Labels

real-time lidar rgb fusion

Projects that are alternatives of or similar to Awesome Autonomous Driving Papers

Vision3d

Research platform for 3D object detection in PyTorch.

Stars: ✭ 177 (+490%)

Mutual labels: lidar, real-time

Hdl localization

Real-time 3D localization using a (velodyne) 3D LIDAR

Stars: ✭ 332 (+1006.67%)

Mutual labels: lidar, real-time

RGB-Fusion-Tool-PS

Powershell that use RGB Fusion CLI to associate profiles with Windows Processes

Stars: ✭ 30 (+0%)

Mutual labels: fusion, rgb

Depth clustering

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

Stars: ✭ 657 (+2090%)

Mutual labels: lidar, real-time

sensor-fusion

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

Stars: ✭ 96 (+220%)

Mutual labels: fusion, lidar

Complex Yolov4 Pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Stars: ✭ 691 (+2203.33%)

Mutual labels: lidar, real-time

Streamz

Real-time stream processing for python

Stars: ✭ 924 (+2980%)

Mutual labels: real-time

Fastlayerdecomposition

fast layer decomposition and updating

Stars: ✭ 20 (-33.33%)

Mutual labels: rgb

Sketch Chat

A Sketch plugin to chat in Sketch Cloud files

Stars: ✭ 20 (-33.33%)

Mutual labels: real-time

Blink1

Official software for blink(1) USB RGB LED by ThingM

Stars: ✭ 888 (+2860%)

Mutual labels: rgb

Mechanical Keyboard

DIY mechanical keyboard and where to find them

Stars: ✭ 947 (+3056.67%)

Mutual labels: rgb

Las Rs

Read and write ASPRS las files, Rust edition.

Stars: ✭ 27 (-10%)

Mutual labels: lidar

Spimedb

EXPLORE & EDIT REALITY

Stars: ✭ 14 (-53.33%)

Mutual labels: real-time

Modosc

A set of Max abstractions designed for computing motion descriptors from raw motion capture data in real time.

Stars: ✭ 24 (-20%)

Mutual labels: real-time

Wetland Hydro Gee

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Stars: ✭ 20 (-33.33%)

Mutual labels: lidar

Fusiondirect.jl

(No maintenance) Detect gene fusion directly from raw fastq files

Stars: ✭ 23 (-23.33%)

Mutual labels: fusion

Mangosta Ios

MongooseIM client for iOS

Stars: ✭ 28 (-6.67%)

Mutual labels: real-time

Przm

🎨 A simple, yet feature rich color picker and manipulator

Stars: ✭ 17 (-43.33%)

Mutual labels: rgb

Fusionless

Python in Black Magic Design's Fusion that sucks less.

Stars: ✭ 12 (-60%)

Mutual labels: fusion

Rocket.chat

The communications platform that puts data protection first.

Stars: ✭ 31,251 (+104070%)

Mutual labels: real-time

View All Similar Projects ➔

Awesome-Autonomous-Driving-Papers

This repository provides awesome research papers for autonomous driving perception.
I have tried my best to keep this repository up to date. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

This summary is categorized into:

Abbreviations

AP-2D: Average Precision for 2D detection (on RGB-image space)
AP-3D: Average Precision for 3D detection
AP-BEV: Average Precision for Birds Eye View
AOS: Average Orientation Similarity (if 2D bounding box available)

Datasets

1. LiDAR-based 3D Object Detection

1.1 Single-stage detectors

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
“HorizonLiDAR3D”: 1st Place Solution for Waymo Open Dataset Challenge - 3D Detection and Domain Adaptation	Waymo	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	---	ArXiv	2020
Structure Aware Single-stage 3D Object Detection from Point Cloud (SA-SSD)	KITTI	AP-3D AP-BEV	Cars	PyTorch	CVPR	2020
3DSSD: Point-based 3D Single Stage Object Detector	KITTI nuScenes	AP-3D AP-BEV	Cars	PyTorch	CVPR	2020
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving	KITTI ATG4D	AP-3D AP-BEV	Cars	---	CVPR	2019
PointPillars: Fast Encoders for Object Detection from Point Clouds	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	CVPR	2019
SECOND: Sparsely Embedded Convolutional Detection	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	Sensors	2018
Complex-YOLO: an euler-region-proposal for real-time 3d object detection on point clouds	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	ECCV	2018
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud	KITTI	mAP-3D	Cars, Pedestrians, Cyclists	PyTorch	ECCV	2018
Pixor: Real-time 3d object detection from point clouds	KITTI	AP-3D	Cars	PyTorch	CVPR	2018
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch Tensorflow	CVPR	2018
3D Fully Convolutional Network using PointCloud data for Vehicle Detection	KITTI	AP-3D AOS	Cars	Tensorflow	IROS	2017

1.2 Two-stage detectors

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection	KITTI Waymo	AP-3D	Cars	PyTorch	CVPR	2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud	KITTI	AP-3D AP-BEV	Cars (1 model), Pedestrians and Cyclists(1 model)	Tensorflow	CVPR	2020
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds	KITTI	AP-3D AP-BEV	Cars	---	ArXiv	2020
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud	KITTI	AP-3D	Cars, Pedestrians, Cyclists	PyTorch	CVPR	2019
Patch Refinement - Localized 3D Object Detection	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	---	ArXiv	2019
StarNet: Targeted Computation for Object Detection in Point Clouds	KITTI Waymo	AP-3D	Cars, Pedestrians, Cyclists	PyTorch	ArXiv	2019
Part-A^2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	ArXiv	2019
Fast Point R-CNN	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	---	ICCV	2019
STD: Sparse-to-Dense 3D Object Detector for Point Cloud	KITTI	AP-3D	Cars, Pedestrians, Cyclists	---	ICCV	2019
Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes	KITTI	AP-3D	Cars, Pedestrians, Cyclists	PyTorch	ICCV	2019
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection	KITTI SUN-RGBD	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	IROS	2019
Frustum PointNets for 3D Object Detection from RGB-D Data	KITTI SUN-RGBD	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	Tensorflow	CVPR	2018

2. Monocular Image-based 3D Object Detection

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving	KITTI	AP-3D AP-BEV AOS	Cars	PyTorch	ECCV	2020
Stereo R-CNN based 3D Object Detection for Autonomous Driving	KITTI	AP-3D/BEV AP-2D	Cars	PyTorch	CVPR	2019
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection	KITTI	AP-3D/BEV AP-2D	Cars, Pedestrians, Cyclists	PyTorch	ICCV	2019
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors	KITTI	AP-3D/BEV AP-2D	Cars, Pedestrians, Cyclists	---	ArXiv	2019
3D Bounding Box Estimation Using Deep Learning and Geometry	KITTI	AP	Cars, Cyclists	PyTorch	CVPR	2017
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image	KITTI		Cars	---	CVPR	2017
Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image	KITTI	AP-2D/3D AOS	Cars	Link	ICRA	2017

3. LiDAR and RGB Images Fusion

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes	SUN RGB-D	AP-3D	37 object categories	PyTorch	CVPR	2020
Multi-Task Multi-Sensor Fusion for 3D Object Detection	KITTI	AP-2D AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	CVPR	2019

4. Pseudo-LiDAR

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	ICLR	2020
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	PyTorch	CVPR	2019

5. Training tricks

Research Paper	Datasets	Metrics	Objects	Source Code	Publisher	Year
PPBA: Improving 3D Object Detection through Progressive Population Based Augmentation	KITTI	AP-3D AP-BEV	Cars, Pedestrians, Cyclists	---	ArXiv	2020
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection	KITTI	AP-3D AP-BEV	10 object categories	PyTorch	ArXiv	2019
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance	ScanNet Semantic3D			---	ArXiv	2019

6. Object tracking (in progress)

To do list:

[x] Add 3D object detection papers based on LiDAR/monocular images/fusion/pseudo-LiDAR.
[x] Add training tricks papers
[ ] Add object tracking papers.
[ ] Provide download.py script to automatically download .pdf files.

References

The format of the README has been referred from RedditSota/state-of-the-art-result-for-machine-learning-problems

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].

Stars: ✭ 30

Visit Git Page 🔗Visit User Page 🔗Visit Issues Page (0) 🔗