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 1476–1500 of 2605 papers

TitleStatusHype
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles—0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic—0
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles—0
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale—0
RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry—0
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation—0
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences—0
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data—0
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference—0
Resource allocation in dynamic multiagent systems—0
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation—0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems—0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers—0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty—0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications—0
Risk-Aware Reasoning for Autonomous Vehicles—0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios—0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling—0
Risk of Cascading Collisions in Network of Vehicles with Delayed Communication—0
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Benchmark Results

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