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 14511500 of 2605 papers

TitleStatusHype
Real-Time Anomaly Detection and Reactive Planning with Large Language Models0
Real-time decision-making for autonomous vehicles under faults0
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles0
Real-time Monocular Depth Estimation with Sparse Supervision on Mobile0
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml0
Real-time Structure Flow0
ReasonNet: End-to-End Driving with Temporal and Global Reasoning0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles0
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review0
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges0
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification0
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance0
Redefining Safety for Autonomous Vehicles0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning0
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation0
Regulating human control over autonomous systems0
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving0
Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment0
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles0
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies0
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic0
Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles0
Reliable, Routable, and Reproducible: Collection of Pedestrian Pathways at Statewide Scale0
RePLAy: Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry0
Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles0
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation0
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences0
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data0
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference0
Resource allocation in dynamic multiagent systems0
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation0
RestoreX-AI: A Contrastive Approach towards Guiding Image Restoration via Explainable AI Systems0
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment0
A Survey on 3D LiDAR Localization for Autonomous Vehicles0
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers0
Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning0
Risk-averse Behavior Planning for Autonomous Driving under Uncertainty0
Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications0
Risk-Aware Reasoning for Autonomous Vehicles0
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios0
Risk Measurement, Risk Entropy, and Autonomous Driving Risk Modeling0
Risk of Cascading Collisions in Network of Vehicles with Delayed Communication0
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Benchmark Results

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