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 431–440 of 2605 papers

TitleStatusHype
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving—0
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose—0
Real-Time Weather Image Classification with SVMCode0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
Slug Mobile: Test-Bench for RL Testing—0
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
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Benchmark Results

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