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 1041–1050 of 2605 papers

TitleStatusHype
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
A Lane Merge Coordination Model for a V2X Scenario—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network—0
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms—0
Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks—0
AI Safety vs. AI Security: Demystifying the Distinction and Boundaries—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior—0
DAP-LED: Learning Degradation-Aware Priors with CLIP for Joint Low-light Enhancement and Deblurring—0
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Benchmark Results

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