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 2121–2130 of 2605 papers

TitleStatusHype
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Distributed Learning and Inference with Compressed Images—0
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)—0
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition—0
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
Interpretable Safety Validation for Autonomous VehiclesCode0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
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Benchmark Results

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