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 271–280 of 2605 papers

TitleStatusHype
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous CarCode1
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual InformationCode1
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous VehiclesCode1
Multimodal Virtual Point 3D DetectionCode1
Optimized adaptive MPC for lateral control of autonomous vehiclesCode1
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision PredictionCode1
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
Weakly Supervised Training of Monocular 3D Object Detectors Using Wide Baseline Multi-view Traffic Camera DataCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
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Benchmark Results

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