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 751–760 of 2605 papers

TitleStatusHype
Diverse Critical Interaction Generation for Planning and Planner Evaluation—0
Diverse Trajectory Forecasting with Determinantal Point Processes—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
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Benchmark Results

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