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Autonomous Forklifts: State of the Art—Exploring Perception, Scanning Technologies and Functional Systems—A Comprehensive Review
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
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Sustainability impact of digitization in logistics
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High-accuracy vehicle localization for autonomous warehousing
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Path following hybrid control for vehicle stability applied to industrial forklifts
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Examination of trust and sustainability concerns in autonomous vehicle adoption
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Autonomous vehicles: theoretical and practical challenges
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How Do Autonomous Cars Work?
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DESIGNING FOR CALIBRATED TRUST: EXPLORING THE CHALLENGES IN CALIBRATING TRUST BETWEEN USERS AND AUTONOMOUS VEHICLES
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Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
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Omnidirectional configuration and control approach on mini heavy loaded forklift autonomous guided vehicle
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Design of an Autonomous Forklift Using Kinect
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Quantum behaved particle swarm optimization of inbound process in an automated warehouse
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Autonomous pallet localization and picking for industrial forklifts: a robust range and look method
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Vision and navigation for the Carnegie-Mellon Navlab
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LiDAR Data Integrity Verification for Autonomous Vehicle
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Sensor Fault Diagnosis and Fault Tolerant Control for Forklift Based on Sliding Mode Theory
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A Robust QR and Computer Vision-Based Sensorless Steering Angle Control, Localization, and Motion Planning of Self-Driving Vehicles
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A robust autonomous mobile forklift pallet recognition
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Autonomous Vehicle Control for Lane and Vehicle Tracking by Using Deep Learning via Vision
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Forward Vehicle Detection Based on Incremental Learning and Fast R-CNN
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Sensors Solutions and Predictive Maintenance Tools to Decrease Kiln and Conveyor Belt Downtime
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You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00102openalex-snapshot
Frustum PointNets for 3D Object Detection from RGB-D Data
inferredcites →https://doi.org/10.1109/hri.2010.5453188openalex-snapshot
Multimodal interaction with an autonomous forklift
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IoT-Based: Design an Autonomous Bus With QR Code Communication System
inferredcites →https://doi.org/10.1109/icarcv.2016.7838833openalex-snapshot
Model predictive motion control of autonomous forklift vehicles with dynamics balance constraint
inferredcites →https://doi.org/10.1109/icarcv.2018.8581085openalex-snapshot
An Autonomous Forklift with 3D Time-of-Flight Camera-Based Localization and Navigation
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Vision-based Guidance and Navigation for Autonomous MAV in Indoor Environment
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QR Code-Based Real Time Vehicle Tracking in Indoor Parking Structures
inferredcites →https://doi.org/10.1109/iccp.2015.7312641openalex-snapshot
Interacting with a multi AGV system
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Vehicle Detection Using Convolutional Neural Network for Autonomous Vehicles
inferredcites →https://doi.org/10.1109/icma.2016.7558649openalex-snapshot
Autonomous pallet localization and picking for industrial forklifts based on the line structured light
inferredcites →https://doi.org/10.1109/icoei51242.2021.9452932openalex-snapshot
Deep Learning Methods for Object Detection in Autonomous Vehicles
inferredcites →https://doi.org/10.1109/icrami52622.2021.9585900openalex-snapshot
Sensor Level Fusion for Multi-modal Biometric Identification using Deep Learning
inferredcites →https://doi.org/10.1109/icsenst.2018.8603640openalex-snapshot
Automated Ground Vehicle (AGV) and Sensor Technologies- A Review
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Survey of economic, energy and environmental aspects of cargo handling equipment in container ports
inferredcites →https://doi.org/10.1109/icufn.2018.8436959openalex-snapshot
Radar and Vision Sensor Fusion for Object Detection in Autonomous Vehicle Surroundings
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489629openalex-snapshot
A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector
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Vision-based Autonomous Tracking Control of Unmanned Aerial Vehicle
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Robust Self-Localization in Industrial Environments Based on 3D Ceiling Structures
inferredcites →https://doi.org/10.1109/iros.2017.8206396openalex-snapshot
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes
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Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges
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An Approach to Global and Behavioral Planning for Automated Forklifts in Structured Environments
inferredcites →https://doi.org/10.1109/iv47402.2020.9304840openalex-snapshot
Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures
inferredcites →https://doi.org/10.1109/ivs.2015.7225739openalex-snapshot
Obstacle localization and recognition for autonomous forklifts using omnidirectional stereovision
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Object Modeling from 3D Point Cloud Data for Self-Driving Vehicles
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Edge Computing for Autonomous Driving: Opportunities and Challenges
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Multi-Object Detection and Tracking, Based on DNN, for Autonomous Vehicles: A Review
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Density-Aware and Semantic-Guided Fusion for 3-D Object Detection Using LiDAR-Camera Sensors
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The Next Step in Robot Commissioning: Autonomous Picking and Palletizing
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Vision-Based Autonomous Landing for Unmanned Aerial and Ground Vehicles Cooperative Systems
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An Open Approach to Autonomous Vehicles
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Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances
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The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car
inferredcites →https://doi.org/10.1109/ritapp.2019.8932837openalex-snapshot
Development of A Virtual Environment to Realize Human-Machine Interaction of Forklift Operation
inferredcites →https://doi.org/10.1109/robot.1998.677310openalex-snapshot
Industrial exploitation of computer vision in logistic automation: autonomous control of an intelligent forklift truck
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DeepPicar: A Low-Cost Deep Neural Network-Based Autonomous Car
inferredcites →https://doi.org/10.1109/sas48726.2020.9220022openalex-snapshot
Location Sensing using QR codes via 2D camera for Automated Guided Vehicles
inferredcites →https://doi.org/10.1109/tase.2016.2603781openalex-snapshot
Decentralized Control of Multi-AGV Systems in Autonomous Warehousing Applications
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The Real-Time Detection of Traffic Participants Using YOLO Algorithm
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Sensors and Sensor Fusion in Autonomous Vehicles
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Distributed Real-Time IoT for Autonomous Vehicles
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A Predictive Controller for Autonomous Vehicle Path Tracking
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Importance-Aware Semantic Segmentation for Autonomous Vehicles
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Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
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Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components
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Retracted: Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles
inferredcites →https://doi.org/10.1109/vppc.2015.7352903openalex-snapshot
Autonomous Vehicle and Real Time Road Lanes Detection and Tracking
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Object recognition and detection with deep learning for autonomous driving applications
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Object detection for automotive radar point clouds – a comparison
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Reviews on Various Inertial Measurement Unit (IMU) Sensor Applications
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A review of autonomous vehicle technology landscape
inferredcites →https://doi.org/10.20965/jrm.2020.p1071openalex-snapshot
Pallet Handling System with an Autonomous Forklift for Outdoor Fields
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Intelligent Warehouses: Focus on the Automatic Routing and Path Planning of Robotic Forklifts Able to Work Autonomously
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Symbiotic Safety: Safe and Efficient Human-Machine Collaboration by utilizing Rules
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Autonomous Tracking System of a Moving Target for Underwater Operations of Work-class ROVs
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Comparative Study of Stabilization Controls of a Forklift Vehicle
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Challenges in Applying Calibration Methods to Stochastic Traffic Models
inferredcites →https://doi.org/10.3182/20090603-3-ru-2001.0540openalex-snapshot
Pallet Pose Estimation with LIDAR and Vision for Autonomous Forklifts
inferredcites →https://doi.org/10.3217/jucs-024-09-1244openalex-snapshot
Detection of Potholes Using a Deep Convolutional Neural Network
inferredcites →https://doi.org/10.33012/2020.17631openalex-snapshot
Closed-Loop GNSS/INS Simulation Chain with RTK-Accuracy for Sensor Fusion Algorithm Verification
inferredcites →https://doi.org/10.3390/ai3020019openalex-snapshot
Detection in Adverse Weather Conditions for Autonomous Vehicles via Deep Learning
inferredcites →https://doi.org/10.3390/app10020698openalex-snapshot
Efficient Stereo Visual Simultaneous Localization and Mapping for an Autonomous Unmanned Forklift in an Unstructured Warehouse
inferredcites →https://doi.org/10.3390/app9194093openalex-snapshot
An Overview of Lidar Imaging Systems for Autonomous Vehicles
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A Review on Autonomous Vehicles: Progress, Methods and Challenges
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YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection
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Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm
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IMU-Based Joint Angle Measurement for Gait Analysis
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A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research
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Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
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Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review
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An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions
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Vision-Based Autonomous Following of a Moving Platform and Landing for an Unmanned Aerial Vehicle
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Evaluating Efficiency and Safety of Mixed Traffic with Connected and Autonomous Vehicles in Adverse Weather
inferredcites →https://doi.org/10.3390/su16219306openalex-snapshot
The Proliferation of Artificial Intelligence in the Forklift Industry—An Analysis for the Case of Romania
inferredcites →https://doi.org/10.4271/2016-01-0128openalex-snapshot
Challenges in Autonomous Vehicle Testing and Validation
inferredcites →https://doi.org/10.48550/arxiv.1708.08559openalex-snapshot
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
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Network-based Distributed Approach for Implementation of an Unmanned Autonomous Forklift
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Requirements for Recognition and Rapid Response to Unfamiliar Events Outside of Agent Design Scope
inferred← citeshttps://doi.org/10.1007/s00170-026-17516-9openalex-snapshot
Methods for autonomous load handling with forklifts: a state-of-the-art review
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inferred← citeshttps://doi.org/10.1109/icieam69213.2026.11549746openalex-snapshot
Energy-Efficient Control of an Autonomous Counterbalance Forklift Truck for Automated Cargo Transportation
inferred← citeshttps://doi.org/10.1109/stcr62650.2025.11019627openalex-snapshot
An Adaptive LoRa based Forklift Tracking and Collision Avoidance System for Smart Warehouses
inferred← citeshttps://doi.org/10.1111/nyas.70001openalex-snapshot
Unmanned forklift pallet positioning algorithm based on an improved human pose estimation model
inferred← citeshttps://doi.org/10.3390/app15105277openalex-snapshot
Design and Development of an Omnidirectional Three-Wheeled Industrial Mobile Robot Platform
inferred← citeshttps://doi.org/10.3390/electronics15051084openalex-snapshot
Dynamic Capacitive Wireless Power Transfer System for Indoor Electric Vehicles Moving Along Non-Fixed Paths
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Cross-Dataset Insights for Fine-Grained Vehicle Orientation Prediction
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Research on Multi-Sensor Fusion Localization for Forklift AGV Based on Adaptive Weight Extended Kalman Filter
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Reimagining Auto Insurance with LiDAR: A Review of Applications, Challenges, and Opportunities
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