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 1551–1575 of 2605 papers

TitleStatusHype
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses—0
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems—0
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change—0
Safe Multi-agent Reinforcement Learning with Natural Language Constraints—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
Safe platooning control of connected and autonomous vehicles on curved multi-lane roads—0
Safe Policy Exploration Improvement via Subgoals—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Safe Reinforcement Learning on Autonomous Vehicles—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing—0
Safety-Critical Stabilization of Force-Controlled Nonholonomic Mobile Robots—0
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches—0
Safety of the Intended Driving Behavior Using Rulebooks—0
Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic Constraints—0
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control—0
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections—0
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices—0
Satellite Image Based Cross-view Localization for Autonomous Vehicle—0
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Benchmark Results

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