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 601–610 of 2605 papers

TitleStatusHype
Performance Evaluation of Real-Time Object Detection for Electric ScootersCode0
Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles—0
ScenicNL: Generating Probabilistic Scenario Programs from Natural Language—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic—0
Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness—0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View DatasetsCode2
Assessing the safety benefits of CACC+ based coordination of connected and autonomous vehicle platoons in emergency braking scenarios—0
SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor ConfigurationsCode1
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Benchmark Results

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