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Evaluation of 3D Vulnerable Objects’ Detection Using a Multi-Sensors System for Autonomous Vehicles

https://doi.org/10.3390/s22041663
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1 of the 50 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.3390/electronics10161932 (notice 2022-04-07).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01270-0_39openalex-snapshot
Deep Continuous Fusion for Multi-sensor 3D Object Detection
inferredcites →https://doi.org/10.1016/j.eswa.2014.04.034openalex-snapshot
Context aided pedestrian detection for danger estimation based on laser scanner and computer vision
inferredcites →https://doi.org/10.1016/j.iatssr.2019.11.005openalex-snapshot
Automated driving recognition technologies for adverse weather conditions
inferredcites →https://doi.org/10.1016/j.isprsjprs.2019.10.015openalex-snapshot
A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data
inferredcites →https://doi.org/10.1016/j.patrec.2017.09.038openalex-snapshot
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
inferredcites →https://doi.org/10.1016/j.trc.2018.02.012openalex-snapshot
Autonomous vehicle perception: The technology of today and tomorrow
inferredcites →https://doi.org/10.1016/j.trpro.2020.02.049openalex-snapshot
How Do Autonomous Cars Work?
inferredcites →https://doi.org/10.1016/j.vlsi.2017.07.007openalex-snapshot
Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey
inferredcites →https://doi.org/10.1016/j.vlsi.2021.01.002openalex-snapshot
Vulnerable objects detection for autonomous driving: A review
inferredcites →https://doi.org/10.1016/s1005-8885(15)60624-0openalex-snapshot
Traffic light detection and recognition for autonomous vehicles
inferredcites →https://doi.org/10.1017/s0263574711000270openalex-snapshot
Environment perception based on LIDAR sensors for real road applications
inferredcites →https://doi.org/10.1049/iet-ipr.2017.1244openalex-snapshot
Multiple hypothesis tracking algorithm for multi‐target multi‐camera tracking with disjoint views
inferredcites →https://doi.org/10.1109/access.2016.2603219openalex-snapshot
Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects
inferredcites →https://doi.org/10.1109/access.2019.2962554openalex-snapshot
Multi-Sensor Fusion in Automated Driving: A Survey
inferredcites →https://doi.org/10.1109/atee.2013.6563528openalex-snapshot
Electronic sensing technologies for autonomous ground vehicles: A review
inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot
Are we ready for autonomous driving? The KITTI vision benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2016.236openalex-snapshot
Monocular 3D Object Detection for Autonomous Driving
inferredcites →https://doi.org/10.1109/cvpr.2017.597openalex-snapshot
3D Bounding Box Estimation Using Deep Learning and Geometry
inferredcites →https://doi.org/10.1109/cvpr.2018.00033openalex-snapshot
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
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/cvpr.2018.00472openalex-snapshot
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00752openalex-snapshot
Multi-Task Multi-Sensor Fusion for 3D Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01054openalex-snapshot
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00204openalex-snapshot
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
inferredcites →https://doi.org/10.1109/icra.2011.5979714openalex-snapshot
Traffic light mapping, localization, and state detection for autonomous vehicles
inferredcites →https://doi.org/10.1109/icra.2019.8793492openalex-snapshot
SEG-VoxelNet for 3D Vehicle Detection from RGB and LiDAR Data
inferredcites →https://doi.org/10.1109/iros.2007.4399152openalex-snapshot
Detection and tracking of multiple pedestrians by using laser range scanners
inferredcites →https://doi.org/10.1109/issc.2018.8585340openalex-snapshot
Sensor Technology in Autonomous Vehicles : A review
inferredcites →https://doi.org/10.1109/itsc.2014.6957993openalex-snapshot
Road curb and lanes detection for autonomous driving on urban scenarios
inferredcites →https://doi.org/10.1109/ivs.2017.7995698openalex-snapshot
Efficient L-shape fitting for vehicle detection using laser scanners
inferredcites →https://doi.org/10.1109/ivs.2019.8813895openalex-snapshot
RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
inferredcites →https://doi.org/10.1109/mce.2020.2969156openalex-snapshot
Traffic Light Detection in Autonomous Driving Systems
inferredcites →https://doi.org/10.1109/mits.2016.2620398openalex-snapshot
Sensor Fusion Methodology for Vehicle Detection
inferredcites →https://doi.org/10.1109/robio.2011.6181529openalex-snapshot
Human detection and tracking with knee-high mobile 2D LIDAR
inferredcites →https://doi.org/10.1109/sami.2019.8782779openalex-snapshot
Towards Raw Sensor Fusion in 3D Object Detection
inferredcites →https://doi.org/10.1109/telfor.2018.8612054openalex-snapshot
Sensors and Sensor Fusion in Autonomous Vehicles
inferredcites →https://doi.org/10.1109/tits.2017.2658662openalex-snapshot
Overview of Environment Perception for Intelligent Vehicles
inferredcites →https://doi.org/10.1109/tits.2018.2790264openalex-snapshot
Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor
inferredcites →https://doi.org/10.1155/2018/2937694openalex-snapshot
A Real-Time 3D Perception and Reconstruction System Based on a 2D Laser Scanner
inferredcites →https://doi.org/10.1186/s40064-016-3573-7openalex-snapshot
Review of visual odometry: types, approaches, challenges, and applications
inferredcites →https://doi.org/10.20532/ccvw.2013.0002openalex-snapshot
Computer Vision Systems in Road Vehicles: A Review
inferredcites →https://doi.org/10.3390/electronics10161932openalex-snapshot
RETRACTED: Road Object Detection: A Comparative Study of Deep Learning-Based Algorithms
inferredcites →https://doi.org/10.3390/fi11020027openalex-snapshot
An Overview of Vehicular Communications
inferredcites →https://doi.org/10.3390/math6100213openalex-snapshot
Target Fusion Detection of LiDAR and Camera Based on the Improved YOLO Algorithm
inferredcites →https://doi.org/10.3390/s17020242openalex-snapshot
Structure-From-Motion in 3D Space Using 2D Lidars
inferredcites →https://doi.org/10.3390/s19030648openalex-snapshot
A Systematic Review of Perception System and Simulators for Autonomous Vehicles Research
inferredcites →https://doi.org/10.3390/s21030706openalex-snapshot
A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges
inferredcites →https://doi.org/10.3390/wevj12030139openalex-snapshot
A Review of 3D Object Detection for Autonomous Driving of Electric Vehicles
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-snapshot
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.57702/jtqsyaamopenalex-snapshot
KITTI Vision Benchmark Suite

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/s42452-025-06720-zopenalex-snapshot
Review on environmental and mobility applications based real-time sensors
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Computer-assisted robotic system for autonomous unicompartmental knee arthroplasty
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Product family optimization with solution-compensation spaces
inferred← citeshttps://doi.org/10.1109/icarce59252.2024.10492609openalex-snapshot
Multiple Objects Detection and Localization using Data Fusion
inferred← citeshttps://doi.org/10.1117/1.oe.62.9.093101openalex-snapshot
High-precision multi-curvature line-structured light center extraction algorithm based on a tooth model
inferred← citeshttps://doi.org/10.17559/tv-20230507000612openalex-snapshot
A Novel Point Cloud Compression Algorithm for Vehicle Recognition Using Boundary Extraction
inferred← citeshttps://doi.org/10.21622/rimc.2024.01.2.1112openalex-snapshot
A lightweight speaker verification approach for autonomous vehicles
inferred← citeshttps://doi.org/10.3389/fnbot.2023.1092564openalex-snapshot
Efficient three-dimensional point cloud object detection based on improved Complex-YOLO
inferred← citeshttps://doi.org/10.3390/agronomy14112697openalex-snapshot
Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review
inferred← citeshttps://doi.org/10.3390/app14167115openalex-snapshot
Forearm Intravenous Detection and Localization for Autonomous Vein Injection Using Contrast-Limited Adaptive Histogram Equalization Algorithm
inferred← citeshttps://doi.org/10.3390/electronics11142214openalex-snapshot
Design of Multimodal Sensor Module for Outdoor Robot Surveillance System
inferred← citeshttps://doi.org/10.3390/inventions10060093openalex-snapshot
AI-Driven Digital Twin for Optimizing Solar Submersible Pumping Systems
inferred← citeshttps://doi.org/10.3390/inventions10060096openalex-snapshot
A Multimodal Polygraph Framework with Optimized Machine Learning for Robust Deception Detection
inferred← citeshttps://doi.org/10.3390/make8070199openalex-snapshot
Sensor Fusion and Perception for Autonomous Driving: A Critical Review of Modalities, AI Models, Algorithms, and Industry Configurations
inferred← citeshttps://doi.org/10.3390/robotics13050066openalex-snapshot
Optimized Decentralized Swarm Communication Algorithms for Efficient Task Allocation and Power Consumption in Swarm Robotics
inferred← citeshttps://doi.org/10.3390/s23156963openalex-snapshot
A Multi-Sensor Fusion Approach Based on PIR and Ultrasonic Sensors Installed on a Robot to Localise People in Indoor Environments
inferred← citeshttps://doi.org/10.35199/dsm2023.14openalex-snapshot
Flexibility Despite Dependencies And Constraints: Product Family Design With Solution-Compensation Spaces
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