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 411–420 of 2605 papers

TitleStatusHype
Motion Forecasting via Model-Based Risk Minimization—0
DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets—0
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles?—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning—0
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation—0
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
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Benchmark Results

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