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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–960 of 2605 papers

TitleStatusHype
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation—0
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion—0
Dense Road Surface Grip Map Prediction from Multimodal Image Data—0
On the Federated Learning Framework for Cooperative Perception—0
Redefining Safety for Autonomous Vehicles—0
Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity SimulationCode0
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Optimization-based Heuristic for Vehicle Dynamic Coordination in Mixed Traffic Intersections—0
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Benchmark Results

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