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 151160 of 2605 papers

TitleStatusHype
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous DrivingCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement LearningCode1
Semi-Supervised Learning for Visual Bird's Eye View Semantic SegmentationCode1
Understanding Hessian Alignment for Domain GeneralizationCode1
Fast Inference and Update of Probabilistic Density Estimation on Trajectory PredictionCode1
3DMOTFormer: Graph Transformer for Online 3D Multi-Object TrackingCode1
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction ModelsCode1
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
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Benchmark Results

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