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

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Showing 1001–1010 of 2605 papers

TitleStatusHype
A Unified Toll Lane Framework for Autonomous and High-Occupancy Vehicles in Interactive Mixed Autonomy—0
M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving—0
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making—0
Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative DrivingCode0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
Integration of 5G and Motion Sensors for Vehicular Positioning: A Loosely-Coupled Approach—0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors—0
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Benchmark Results

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