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 2361–2370 of 2605 papers

TitleStatusHype
Behavior Planning of Autonomous Cars with Social Perception—0
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Geometry aware convolutional filters for omnidirectional images representation—0
Learning agents with prioritization and parameter noise in continuous state and action space—0
A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS—0
Outlier Detection from Image Data—0
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
Minimizing Perceived Image Quality Loss Through Adversarial Attack Scoping—0
Improving benchmarks for autonomous vehicles testing using synthetically generated images—0
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Benchmark Results

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