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 91–100 of 2605 papers

TitleStatusHype
Zero-Day Botnet Attack Detection in IoV: A Modular Approach Using Isolation Forests and Particle Swarm Optimization—0
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization—0
UNILoc: Unified Localization Combining Model-Based Geometry and Unsupervised Learning—0
Improving Human-Autonomous Vehicle Interaction in Complex Systems—0
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models—0
Exploring human-SAV interaction using large language models: The impact of psychological ownership and anthropomorphism on user experience—0
LMPOcc: 3D Semantic Occupancy Prediction Utilizing Long-Term Memory Prior from Historical Traversals—0
Safe Physics-Informed Machine Learning for Dynamics and Control—0
TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion—0
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs—0
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Benchmark Results

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