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

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Showing 241–250 of 2605 papers

TitleStatusHype
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
Goal-driven Self-Attentive Recurrent Networks for Trajectory PredictionCode1
Implementation and Experimental Validation of Data-Driven Predictive Control for Dissipating Stop-and-Go Waves in Mixed TrafficCode1
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITSCode1
Graph Neural Networks in IoT: A SurveyCode1
DeeP-LCC: Data-EnablEd Predictive Leading Cruise Control in Mixed Traffic FlowCode1
Self-Supervised Scene Flow Estimation with 4-D Automotive RadarCode1
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature AggregationCode1
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Benchmark Results

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