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 2371–2380 of 2605 papers

TitleStatusHype
Learning agents with prioritization and parameter noise in continuous state and action space—0
Geometry aware convolutional filters for omnidirectional images representation—0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Anomaly Detection in Traffic Scenes via Spatial-aware Motion Reconstruction—0
Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1-Constraint—0
Improving benchmarks for autonomous vehicles testing using synthetically generated images—0
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances—0
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping—0
Forward Vehicle Collision Warning Based on Quick Camera Calibration—0
Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks—0
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Benchmark Results

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