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 11311140 of 2605 papers

TitleStatusHype
Addressing the IEEE AV Test Challenge with Scenic and VerifAI0
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance0
Collaboration Between the City and Machine Learning Community is Crucial to Efficient Autonomous Vehicles Routing0
Development of Simulation-based Lane Change Control System for Autonomous Vehicles0
Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions0
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice0
Analysis over vision-based models for pedestrian action anticipation0
Developing Situational Awareness for Joint Action with Autonomous Vehicles0
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data0
Deterministic Guided LiDAR Depth Map Completion0
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Benchmark Results

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