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Autonomous Driving

122 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.

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Greatest papers with code

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

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

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

4 Dec 2016BichenWuUCB/squeezeDet

In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.

AUTONOMOUS DRIVING REAL-TIME OBJECT DETECTION

Joint 3D Proposal Generation and Object Detection from View Aggregation

6 Dec 2017kujason/avod

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.

3D OBJECT DETECTION AUTONOMOUS DRIVING

nuScenes: A multimodal dataset for autonomous driving

26 Mar 2019traveller59/second.pytorch

In this work we present nuTonomy scenes (nuScenes), the first dataset to carry the full autonomous vehicle sensor suite: 6 cameras, 5 radars and 1 lidar, all with full 360 degree field of view.

3D OBJECT DETECTION AUTONOMOUS DRIVING