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 291–300 of 2605 papers

TitleStatusHype
Distilling Diffusion Models to Efficient 3D LiDAR Scene CompletionCode2
On Privacy, Security, and Trustworthiness in Distributed Wireless Large AI Models (WLAM)—0
FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging—0
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications—0
Generating Critical Scenarios for Testing Automated Driving Systems—0
Object Tracking in a 360^o View: A Novel Perspective on Bridging the Gap to Biomedical Advancements—0
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model—0
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Machine Learning for Spectrum Sharing: A Survey—0
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Benchmark Results

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