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

Showing 851860 of 2605 papers

TitleStatusHype
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous DrivingCode0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation0
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction0
IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems0
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving0
Model Checking for Closed-Loop Robot Reactive Planning0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions0
Physical Adversarial Examples for Multi-Camera Systems0
Lateral control for autonomous vehicles: A comparative evaluation0
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Benchmark Results

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