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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1410 of 2605 papers

TitleStatusHype
Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles—0
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks—0
IMU Preintegrated Features for Efficient Deep Inertial Odometry—0
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization—0
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions—0
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles—0
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas—0
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network—0
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion—0
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles—0
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Benchmark Results

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