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 1221–1230 of 2605 papers

TitleStatusHype
A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles—0
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous VehiclesCode1
Autonomous particles—0
Unleash the Potential of Image Branch for Cross-modal 3D Object DetectionCode1
Slice Transformer and Self-supervised Learning for 6DoF Localization in 3D Point Cloud Maps—0
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment—0
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving—0
Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse—0
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehiclesCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
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Benchmark Results

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