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 581–590 of 2605 papers

TitleStatusHype
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light DetectorsCode0
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle SettingsCode0
Focal Loss in 3D Object DetectionCode0
Formal Security Analysis of Neural Networks using Symbolic IntervalsCode0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
Finding the Gap: Neuromorphic Motion Vision in Cluttered EnvironmentsCode0
FIR-based Future Trajectory Prediction in Nighttime Autonomous DrivingCode0
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous VehiclesCode0
FedRSU: Federated Learning for Scene Flow Estimation on Roadside UnitsCode0
Adversarial Feature Map Pruning for BackdoorCode0
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Benchmark Results

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