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 231–240 of 2605 papers

TitleStatusHype
Benchmarking Image Perturbations for Testing Automated Driving Assistance SystemsCode0
Systems Engineering for Autonomous Vehicles; Supervising AI using Large Language Models (SSuperLLM)—0
Assessing Markov Property in Driving Behaviors: Insights from Statistical Tests—0
On the Benefits of Instance Decomposition in Video Prediction Models—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Explore the Use of Time Series Foundation Model for Car-Following Behavior Analysis—0
MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis—0
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand SystemsCode0
The global consensus on the risk management of autonomous driving—0
MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain—0
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Benchmark Results

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