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

Showing 6170 of 2605 papers

TitleStatusHype
nuScenes: A multimodal dataset for autonomous drivingCode2
Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous VehiclesCode2
Flow: A Modular Learning Framework for Mixed Autonomy TrafficCode2
Where, What, Why: Towards Explainable Driver Attention PredictionCode1
SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map ConstructionCode1
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous DrivingCode1
RefAV: Towards Planning-Centric Scenario MiningCode1
AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection SystemsCode1
Chirp Delay-Doppler Domain Modulation: A New Paradigm of Integrated Sensing and Communication for Autonomous VehiclesCode1
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
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Benchmark Results

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