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 14711480 of 2605 papers

TitleStatusHype
Safe Hierarchical Model Predictive Control and Planning for Autonomous Systems0
How Do We Fail? Stress Testing Perception in Autonomous VehiclesCode0
Sparse Federated Learning with Hierarchical Personalized Models0
Efficient Fully Distributed Federated Learning with Adaptive Local Links0
Modelling and Analysis of Car Following Algorithms for Fuel Economy Improvement in Connected and Autonomous Vehicles (CAVs)0
Collective Decision Making using Attractive and Repulsive Forces in Markovian Opinion Dynamics0
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision TransformerCode2
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-LearningCode0
Improving Urban Mobility: using artificial intelligence and new technologies to connect supply and demand0
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Benchmark Results

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