Autonomous Driving

441 papers with code • 4 benchmarks • 49 datasets

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving )

Greatest papers with code

Baidu Apollo EM Motion Planner

ApolloAuto/apollo 20 Jul 2018

In this manuscript, we introduce a real-time motion planning system based on the Baidu Apollo (open source) autonomous driving platform.

Autonomous Driving Motion Planning +1

Online Temporal Calibration for Monocular Visual-Inertial Systems

HKUST-Aerial-Robotics/VINS-Mono 2 Aug 2018

Visual and inertial fusion is a popular technology for 6-DOF state estimation in recent years.

Autonomous Driving Robot Navigation +2

PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation

PaddlePaddle/PaddleClas 15 Jan 2021

The toolkit aims to help both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models.

Autonomous Driving Human Part Segmentation +2

YOLOX: Exceeding YOLO Series in 2021

Megvii-BaseDetection/YOLOX 18 Jul 2021

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

2D Object Detection Autonomous Driving

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

mcordts/cityscapesScripts 14 Jun 2020

In addition, we complement the Cityscapes benchmark suite with 3D vehicle detection based on the new annotations as well as metrics presented in this work.

Autonomous Driving

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

lexfridman/deeptraffic 9 Jan 2018

We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.

Autonomous Driving Autonomous Navigation +1

LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving

lgsvl/simulator 7 May 2020

Testing autonomous driving algorithms on real autonomous vehicles is extremely costly and many researchers and developers in the field cannot afford a real car and the corresponding sensors.

Autonomous Driving

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

open-mmlab/mmdetection3d 22 Apr 2021

In this technical report, we study this problem with a practice built on fully convolutional single-stage detector and propose a general framework FCOS3D.

Autonomous Driving Monocular 3D Object Detection

Exploring Data Augmentation for Multi-Modality 3D Object Detection

open-mmlab/mmdetection3d 23 Dec 2020

Due to the fact that multi-modality data augmentation must maintain consistency between point cloud and images, recent methods in this field typically use relatively insufficient data augmentation.

3D Object Detection Autonomous Driving +1