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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 71–80 of 2605 papers

TitleStatusHype
Multi-Objective Reinforcement Learning for Adaptive Personalized Autonomous Driving—0
Position: Epistemic Artificial Intelligence is Essential for Machine Learning Models to Know When They Do Not Know—0
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting—0
Vision-Language-Action Models: Concepts, Progress, Applications and Challenges—0
Data-Driven Falsification of Cyber-Physical SystemsCode0
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion—0
OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy PredictionCode0
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets—0
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles—0
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving—0
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Benchmark Results

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