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 1501–1550 of 2605 papers

TitleStatusHype
Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles—0
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles—0
RLM-Tracking: Online Multi-Pedestrian Tracking Supported by Relative Location Mapping—0
RMF: A Risk Measurement Framework for Machine Learning Models—0
RMNv2: Reduced Mobilenet V2 for CIFAR10—0
Road Detection through Supervised Classification—0
Roadmap for Cybersecurity in Autonomous Vehicles—0
Road Quality Analysis Based on Cognitive Internet of Vehicles (CIoV)—0
Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
Road Segmentation Using CNN with GRU—0
Road Slope Prediction and Vehicle Dynamics Control for Autonomous Vehicles—0
Robust and Real Time Detection of Curvy Lanes (Curves) with Desired Slopes for Driving Assistance and Autonomous Vehicles—0
Robust and Scalable Techniques for TWR and TDoA based localization using Ultra Wide Band Radios—0
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis—0
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems—0
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach—0
Robust EMRAN-aided Coupled Controller for Autonomous Vehicles—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots—0
Robust Guarantees for Perception-Based Control—0
Robustifying 3D Perception through Least-Squares Multi-Agent Graphs Object Tracking—0
Robust Long-Range Perception Against Sensor Misalignment in Autonomous Vehicles—0
Robust Self-Supervised Extrinsic Self-Calibration—0
Robust sensor fusion against on-vehicle sensor staleness—0
Robust Stochastic Graph Generator for Counterfactual Explanations—0
Robust Tube-based Control Strategy for Vision-guided Autonomous Vehicles—0
RONELDv2: A faster, improved lane tracking method—0
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks—0
Routing Autonomous Emergency Vehicles in Smart Cities Using Real Time Systems Analogy: A Conceptual Model—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
RTGPU: Real-Time GPU Scheduling of Hard Deadline Parallel Tasks with Fine-Grain Utilization—0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Real-time Monocular Depth Estimation on Embedded Systems—0
RT-MOT: Confidence-Aware Real-Time Scheduling Framework for Multi-Object Tracking Tasks—0
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation—0
S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation—0
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles—0
Safe and Efficient CAV Lane Changing using Decentralised Safety Shields—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach—0
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles—0
Safe Control under Uncertainty—0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning—0
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection—0
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models—0
Safe Driving Capacity of Autonomous Vehicles—0
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Benchmark Results

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