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 1481–1490 of 2605 papers

TitleStatusHype
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
ShaSTA: Modeling Shape and Spatio-Temporal Affinities for 3D Multi-Object Tracking—0
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions—0
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization—0
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks—0
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputsCode0
Optimization based coordination of autonomous vehicles in confined areas—0
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models—0
Show:102550
← PrevPage 149 of 261Next →

Benchmark Results

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