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 1401–1425 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
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning—0
Probabilistic Prediction of Vehicle Semantic Intention and Motion—0
Probabilistic Segmentation for Robust Field of View Estimation—0
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process—0
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving—0
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications—0
Proceedings First Workshop on Formal Verification of Autonomous Vehicles—0
Prospective Role of Foundation Models in Advancing Autonomous Vehicles—0
Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea—0
Providentia -- A Large-Scale Sensor System for the Assistance of Autonomous Vehicles and Its Evaluation—0
Pseudo-labeling for Scalable 3D Object Detection—0
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems—0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles—0
Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles—0
Quantifying the Economic Case for Electric Semi-Trucks—0
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Benchmark Results

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