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 2426–2450 of 2605 papers

TitleStatusHype
Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control—0
Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends—0
Computer Vision for Autonomous Vehicles—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping—0
LEAF: A Benchmark for Federated SettingsCode1
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving—0
Joint Monocular 3D Vehicle Detection and TrackingCode0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning—0
Looking at the Driver/Rider in Autonomous Vehicles to Predict Take-Over Readiness—0
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous VehiclesCode0
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications—0
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Compositional Verification for Autonomous Systems with Deep Learning Components—0
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]Code0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
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Benchmark Results

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