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 2321–2330 of 2605 papers

TitleStatusHype
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
Robust Guarantees for Perception-Based Control—0
Affine Disentangled GAN for Interpretable and Robust AV Perception—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Lane Detection and Classification using Cascaded CNNsCode0
Location Anomalies Detection for Connected and Autonomous Vehicles—0
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection—0
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks—0
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Benchmark Results

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