SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1726–1750 of 2605 papers

TitleStatusHype
The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction—0
The Open Autonomy Safety Case Framework—0
The Pedestrian Patterns Dataset—0
There and Back Again: Self-supervised Multispectral Correspondence Estimation—0
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation—0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
The Stixel world: A medium-level representation of traffic scenes—0
The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving—0
The WayHome: Long-term Motion Prediction on Dynamically Scaled—0
To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles—0
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems—0
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters—0
Toward a Low-Cost Perception System in Autonomous Vehicles: A Spectrum Learning Approach—0
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis—0
Towards 3D Semantic Scene Completion for Autonomous Driving: A Meta-Learning Framework Empowered by Deformable Large-Kernel Attention and Mamba Model—0
Towards 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving—0
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios—0
Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow—0
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World—0
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
Towards Autonomous Driving: a Multi-Modal 360^ Perception Proposal—0
Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified