Autonomous Driving

226 papers with code · Computer Vision
Subtask of Autonomous Vehicles

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 )

Leaderboards

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Greatest papers with code

Online Temporal Calibration for Monocular Visual-Inertial Systems

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

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

AUTONOMOUS DRIVING ROBOT NAVIGATION SENSOR FUSION TIME OFFSET CALIBRATION

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

9 Jan 2018lexfridman/deeptraffic

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 Q-LEARNING

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

NeurIPS 2018 SullyChen/Autopilot-TensorFlow

While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing.

AUTONOMOUS DRIVING

Virtual to Real Reinforcement Learning for Autonomous Driving

13 Apr 2017SullyChen/Autopilot-TensorFlow

To our knowledge, this is the first successful case of driving policy trained by reinforcement learning that can adapt to real world driving data.

AUTONOMOUS DRIVING DOMAIN ADAPTATION SYNTHETIC-TO-REAL TRANSLATION TRANSFER LEARNING

nuScenes: A multimodal dataset for autonomous driving

CVPR 2020 traveller59/second.pytorch

Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar.

#3 best model for 3D Object Detection on nuScenes (using extra training data)

3D OBJECT DETECTION AUTONOMOUS DRIVING

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

22 Dec 2016MarvinTeichmann/KittiSeg

While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving.

AUTONOMOUS DRIVING SEMANTIC SEGMENTATION

Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

26 Aug 2019poodarchu/Class-balanced-Grouping-and-Sampling-for-Point-Cloud-3D-Object-Detection

This report presents our method which wins the nuScenes3D Detection Challenge [17] held in Workshop on Autonomous Driving(WAD, CVPR 2019).

3D OBJECT DETECTION AUTONOMOUS DRIVING

A Baseline for 3D Multi-Object Tracking

9 Jul 2019xinshuoweng/AB3DMOT

Although our baseline system is a straightforward combination of standard methods, we obtain the state-of-the-art results.

3D MULTI-OBJECT TRACKING AUTONOMOUS DRIVING