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

Showing 571580 of 2605 papers

TitleStatusHype
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward ProfilesCode0
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object ClassificationCode0
Game-theoretic Objective Space PlanningCode0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
FormulaZero: Distributionally Robust Online Adaptation via Offline Population SynthesisCode0
Fool the Stoplight: Realistic Adversarial Patch Attacks on Traffic Light DetectorsCode0
Formal Security Analysis of Neural Networks using Symbolic IntervalsCode0
Focal Loss in 3D Object DetectionCode0
Adversarial Feature Map Pruning for BackdoorCode0
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Benchmark Results

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