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 1121–1130 of 2605 papers

TitleStatusHype
Diffusion-Based Particle-DETR for BEV Perception—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach—0
Diffusion-Based Environment-Aware Trajectory Prediction—0
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles—0
Autonomy 2.0: The Quest for Economies of Scale—0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing—0
Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement—0
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations—0
Analytical Safety Bounds for Trajectory Following Controllers in Autonomous Vehicles—0
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Benchmark Results

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