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Deep Learning-Based Pedestrian Detection in Autonomous Vehicles: Substantial Issues and Challenges

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

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Human Detection Using Oriented Histograms of Flow and Appearance
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Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd
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NightOwls: A Pedestrians at Night Dataset
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Deep Learning Based Pedestrian Detection at Distance in Smart Cities
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Learning a Deep Convolutional Network for Image Super-Resolution
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Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice
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Accelerating the Super-Resolution Convolutional Neural Network
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Is Faster R-CNN Doing Well for Pedestrian Detection?
inferredcites →https://doi.org/10.1007/978-981-16-2248-9_7openalex-snapshot
Survey of Real-Time Object Detection for Logo Detection System
inferredcites →https://doi.org/10.1007/s00500-020-04999-1openalex-snapshot
RETRACTED ARTICLE: Enhanced pedestrian detection using optimized deep convolution neural network for smart building surveillance
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RFID localization algorithms and applications—a review
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MobileNet-JDE: a lightweight multi-object tracking model for embedded systems
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Advance generalization technique through 3D CNN to overcome the false positives pedestrian in autonomous vehicles
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Learning 3D Shape Completion Under Weak Supervision
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A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition
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Camera-based Basketball Scoring Detection Using Convolutional Neural Network
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The adaptability and challenges of autonomous vehicles to pedestrians in urban China
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Improvement of air cathode performance in microbial fuel cells by using catalysts made by binding metal-organic framework and activated carbon through ultrasonication and solution precipitation
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Joint multi-person detection and tracking from overlapping cameras
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Microbial desalination cell: Desalination through conserving energy
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Influence of flowrates to a reverse electro-dialysis (RED) stack on performance and electrochemistry of a microbial reverse electrodialysis cell (MRC)
inferredcites →https://doi.org/10.1016/j.infrared.2018.08.029openalex-snapshot
Multispectral pedestrian detection based on deep convolutional neural networks
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A robust and fast multispectral pedestrian detection deep network
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Review of CMOS image sensors
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Deep learning for processing electromyographic signals: A taxonomy-based survey
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Fusion of color and infrared video for moving human detection
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Human detection from images and videos: A survey
inferredcites →https://doi.org/10.1016/j.patcog.2020.107233openalex-snapshot
Online tracking of ants based on deep association metrics: method, dataset and evaluation
inferredcites →https://doi.org/10.1016/j.patcog.2021.107846openalex-snapshot
Pedestrian detection with super-resolution reconstruction for low-quality image
inferredcites →https://doi.org/10.1016/j.scs.2020.102692openalex-snapshot
SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2
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/10.1049/iet-its.2014.0236openalex-snapshot
Review of pedestrian detection techniques in automotive far‐infrared video
inferredcites →https://doi.org/10.1088/1742-6596/1682/1/012012openalex-snapshot
Long-distanceinfrared video pedestrian detection using deep learning and backgroundsubtraction
inferredcites →https://doi.org/10.1109/access.2019.2909992openalex-snapshot
Pedestrian Detection in Automotive Safety: Understanding State-of-the-Art
inferredcites →https://doi.org/10.1109/access.2021.3076530openalex-snapshot
Motion Planning for Mobile Robots—Focusing on Deep Reinforcement Learning: A Systematic Review
inferredcites →https://doi.org/10.1109/csci46756.2018.00074openalex-snapshot
Pedestrians' Detection Methods in Video Images: A Literature Review
inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot
Rapid object detection using a boosted cascade of simple features
inferredcites →https://doi.org/10.1109/cvpr.2005.469openalex-snapshot
Human Activity Recognition in Thermal Infrared Imagery
inferredcites →https://doi.org/10.1109/cvpr.2008.4587800openalex-snapshot
Discriminative local binary patterns for human detection in personal album
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.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298706openalex-snapshot
Multispectral pedestrian detection: Benchmark dataset and baseline
inferredcites →https://doi.org/10.1109/cvpr.2017.474openalex-snapshot
CityPersons: A Diverse Dataset for Pedestrian Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00081openalex-snapshot
Progressive Attention Guided Recurrent Network for Salient Object Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01117openalex-snapshot
Generalizable Pedestrian Detection: The Elephant In The Room
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00093openalex-snapshot
Progressive End-to-End Object Detection in Crowded Scenes
inferredcites →https://doi.org/10.1109/cvprw.2009.5206532openalex-snapshot
An empirical study of context in object detection
inferredcites →https://doi.org/10.1109/dcoss52077.2021.00027openalex-snapshot
M&M: Recognizing Multiple Co-evolving Activities From Multi-source Videos
inferredcites →https://doi.org/10.1109/iccsp.2019.8698101openalex-snapshot
Deep Learning based Pedestrian Detection at all Light Conditions
inferredcites →https://doi.org/10.1109/iccv.2007.4409092openalex-snapshot
Depth and Appearance for Mobile Scene Analysis
inferredcites →https://doi.org/10.1109/iccv.2013.257openalex-snapshot
Joint Deep Learning for Pedestrian Detection
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-snapshot
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.221openalex-snapshot
Deep Learning Strong Parts for Pedestrian Detection
inferredcites →https://doi.org/10.1109/iccv.2017.377openalex-snapshot
Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00991openalex-snapshot
Re-ID Driven Localization Refinement for Person Search
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00327openalex-snapshot
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00427openalex-snapshot
Pedestrian Occlusion Level Classification using Keypoint Detection and 2D Body Surface Area Estimation
inferredcites →https://doi.org/10.1109/icma.2018.8484698openalex-snapshot
Pedestrian Detection Based on YOLO Network Model
inferredcites →https://doi.org/10.1109/icpr.2016.7899703openalex-snapshot
Multi-spectral pedestrian detection based on accumulated object proposal with fully convolutional networks
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412992openalex-snapshot
Learning a Dynamic High-Resolution Network for Multi-Scale Pedestrian Detection
inferredcites →https://doi.org/10.1109/icraie47735.2019.9037761openalex-snapshot
Benchmarking LiDAR Sensors for Development and Evaluation of Automotive Perception
inferredcites →https://doi.org/10.1109/ispacs51563.2021.9650980openalex-snapshot
Finger-Vein Recognition Using a NASNet with a Cutout
inferredcites →https://doi.org/10.1109/jiot.2018.2812300openalex-snapshot
A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications
inferredcites →https://doi.org/10.1109/jsen.2001.936931openalex-snapshot
An ultrasonic sensor for distance measurement in automotive applications
inferredcites →https://doi.org/10.1109/jsen.2008.2006452openalex-snapshot
New Automotive Sensors—A Review
inferredcites →https://doi.org/10.1109/jsen.2011.2155056openalex-snapshot
Combined Capacitive and Ultrasonic Distance Measurement for Automotive Applications
inferredcites →https://doi.org/10.1109/jsen.2022.3172386openalex-snapshot
The Use of Thermal Cameras for Pedestrian Detection
inferredcites →https://doi.org/10.1109/mits.2017.2666579openalex-snapshot
Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification
inferredcites →https://doi.org/10.1109/mmul.2020.2999445openalex-snapshot
PGAN: Part-Based Nondirect Coupling Embedded GAN for Person Reidentification
inferredcites →https://doi.org/10.1109/tetci.2020.3007905openalex-snapshot
A Review on Computational Intelligence Techniques in Cloud and Edge Computing
inferredcites →https://doi.org/10.1109/tits.2018.2807199openalex-snapshot
An Extended Filtered Channel Framework for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tits.2020.2993926openalex-snapshot
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey
inferredcites →https://doi.org/10.1109/tmm.2017.2759508openalex-snapshot
Scale-aware Fast R-CNN for Pedestrian Detection
inferredcites →https://doi.org/10.1109/tmm.2018.2829602openalex-snapshot
Pedestrian Detection via Body Part Semantic and Contextual Information With DNN
inferredcites →https://doi.org/10.1109/tmtt.2004.834185openalex-snapshot
Ultra-Wideband Radar Sensors for Short-Range Vehicular Applications
inferredcites →https://doi.org/10.1109/tmtt.2011.2178427openalex-snapshot
Millimeter-Wave Technology for Automotive Radar Sensors in the 77 GHz Frequency Band
inferredcites →https://doi.org/10.1109/tpami.2011.155openalex-snapshot
Pedestrian Detection: An Evaluation of the State of the Art
inferredcites →https://doi.org/10.1109/tpami.2015.2439281openalex-snapshot
Image Super-Resolution Using Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2897684openalex-snapshot
EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
inferredcites →https://doi.org/10.1109/vtc2021-spring51267.2021.9448692openalex-snapshot
Multimodal Machine Learning for Pedestrian Detection
inferredcites →https://doi.org/10.1109/wacv.2017.108openalex-snapshot
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection
inferredcites →https://doi.org/10.1109/wacv48630.2021.00012openalex-snapshot
Guided Attentive Feature Fusion for Multispectral Pedestrian Detection
inferredcites →https://doi.org/10.1109/wcnc.2019.8886037openalex-snapshot
Pedestrian Detection for Autonomous Driving within Cooperative Communication System
inferredcites →https://doi.org/10.1117/12.2540277openalex-snapshot
Recent development of automotive LiDAR technology, industry and trends
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3474085.3475573openalex-snapshot
Improving Pedestrian Detection from a Long-tailed Domain Perspective
inferredcites →https://doi.org/10.18280/ts.380601openalex-snapshot
Age Estimation from Left-Hand Radiographs with Deep Learning Methods
inferredcites →https://doi.org/10.23919/aeitautomotive52815.2021.9662925openalex-snapshot
Intelligent Saliency-based Deep Pedestrian Tracking System for Advanced Driving Assistance
inferredcites →https://doi.org/10.26599/tst.2019.9010018openalex-snapshot
Survey of pedestrian action recognition techniques for autonomous driving
inferredcites →https://doi.org/10.3390/app10030809openalex-snapshot
Pedestrian Detection at Night in Infrared Images Using an Attention-Guided Encoder-Decoder Convolutional Neural Network
inferredcites →https://doi.org/10.3390/brainsci11020240openalex-snapshot
A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification
inferredcites →https://doi.org/10.3390/drones5030066openalex-snapshot
Multiscale Object Detection from Drone Imagery Using Ensemble Transfer Learning
inferredcites →https://doi.org/10.3390/rs13020200openalex-snapshot
Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function
inferredcites →https://doi.org/10.3390/rs13132538openalex-snapshot
Infrared and Visible Image Object Detection via Focused Feature Enhancement and Cascaded Semantic Extension
inferredcites →https://doi.org/10.3390/s16060820openalex-snapshot
Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison
inferredcites →https://doi.org/10.3390/s17010018openalex-snapshot
A Machine Learning Approach to Pedestrian Detection for Autonomous Vehicles Using High-Definition 3D Range Data
inferredcites →https://doi.org/10.3390/s17020271openalex-snapshot
Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles
inferredcites →https://doi.org/10.3390/s21020653openalex-snapshot
Highly Efficient Lossless Coding for High Dynamic Range Red, Clear, Clear, Clear Image Sensors
inferredcites →https://doi.org/10.3390/s21072536openalex-snapshot
Pedestrian Detection Using Multispectral Images and a Deep Neural Network
inferredcites →https://doi.org/10.3390/s21227543openalex-snapshot
A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction
inferredcites →https://doi.org/10.3390/s22187014openalex-snapshot
Comparison of Pedestrian Detectors for LiDAR Sensor Trained on Custom Synthetic, Real and Mixed Datasets
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Microbial electrolysis cells for electromethanogenesis: Materials, configurations and operations
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InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
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Real-Time Pedestrian Detection with Deep Network Cascades

What points at this work

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

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Multimodal PointPillars for Efficient Object Detection in Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/tiv.2024.3415771openalex-snapshot
A Review of LiDAR-Based 3D Object Detection via Deep Learning Approaches Towards Robust Connected and Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/wconf61366.2024.10692271openalex-snapshot
Pedestrian Detection for Autonomous Driving Within Cooperative Communication System Based on CNN-ELM Approach
inferred← citeshttps://doi.org/10.1117/1.jrs.17.046505openalex-snapshot
Lightweight multi-target detection algorithm for unmanned aerial vehicle aerial imagery
inferred← citeshttps://doi.org/10.1117/12.3013514openalex-snapshot
Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation
inferred← citeshttps://doi.org/10.1117/12.3021631openalex-snapshot
Investigation into deep learning methods for in-the-wild applications
inferred← citeshttps://doi.org/10.1145/3729420openalex-snapshot
A Survey of Autonomous Driving from a Deep Learning Perspective
inferred← citeshttps://doi.org/10.1177/09544070251327616openalex-snapshot
Latest breakthroughs, research results, and challenges in intelligent control of autonomous vehicles
inferred← citeshttps://doi.org/10.1177/17298806261453409openalex-snapshot
AI-assisted pedestrian detection and enumeration from aerial perspectives
inferred← citeshttps://doi.org/10.1371/journal.pone.0314817openalex-snapshot
Analysis of vehicle and pedestrian detection effects of improved YOLOv8 model in drone-assisted urban traffic monitoring system
inferred← citeshttps://doi.org/10.14445/23488379/ijeee-v11i12p108openalex-snapshot
Integrating Human Pose Regression with Motion Analysis and Lightweight Edge Solutions for Advanced Pedestrian Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3815314/v1openalex-snapshot
Research on Front-Vehicle taillight recognition based on image processing and matching
inferred← citeshttps://doi.org/10.2139/ssrn.5457668openalex-snapshot
Event-Based Vision Sensing and Its Application to Pedestrian Detection for Autonomous Driving
inferred← citeshttps://doi.org/10.2139/ssrn.5527616openalex-snapshot
AI explanations: Do they benefit everyone? A case study of image classifiers
inferred← citeshttps://doi.org/10.26552/com.c.2025.013openalex-snapshot
Observational Study of Pedestrian Behavior at Signalized Crosswalks
inferred← citeshttps://doi.org/10.29207/resti.v7i3.4884openalex-snapshot
Pedestrian Detection System using YOLOv5 for Advanced Driver Assistance System (ADAS)
inferred← citeshttps://doi.org/10.31026/j.eng.2024.08.10openalex-snapshot
Comparative Study of Different Classification Techniques for Pedestrian Detection Application
inferred← citeshttps://doi.org/10.3389/fbuil.2024.1383144openalex-snapshot
Investigating the impacts of autonomous vehicles on crash severity and traffic safety
inferred← citeshttps://doi.org/10.3389/frobt.2023.1283322openalex-snapshot
Efficient human 3D localization and free space segmentation for human-aware mobile robots in warehouse facilities
inferred← citeshttps://doi.org/10.3390/app122211364openalex-snapshot
Application of Machine Learning Techniques for Predicting Potential Vehicle-to-Pedestrian Collisions in Virtual Reality Scenarios
inferred← citeshttps://doi.org/10.3390/app13063995openalex-snapshot
Target Detection and Recognition for Traffic Congestion in Smart Cities Using Deep Learning-Enabled UAVs: A Review and Analysis
inferred← citeshttps://doi.org/10.3390/app14177776openalex-snapshot
Vehicle Ego-Trajectory Segmentation Using Guidance Cues
inferred← citeshttps://doi.org/10.3390/e25071022openalex-snapshot
Contour Information-Guided Multi-Scale Feature Detection Method for Visible-Infrared Pedestrian Detection
inferred← citeshttps://doi.org/10.3390/electronics12020377openalex-snapshot
Wildlife Object Detection Method Applying Segmentation Gradient Flow and Feature Dimensionality Reduction
inferred← citeshttps://doi.org/10.3390/electronics13030484openalex-snapshot
Autonomous Driving Control for Passing Unsignalized Intersections Using the Semantic Segmentation Technique
inferred← citeshttps://doi.org/10.3390/electronics13112116openalex-snapshot
Detection of Dangerous Human Behavior by Using Optical Flow and Hybrid Deep Learning
inferred← citeshttps://doi.org/10.3390/electronics14091713openalex-snapshot
FA-YOLO: A Pedestrian Detection Algorithm with Feature Enhancement and Adaptive Sparse Self-Attention
inferred← citeshttps://doi.org/10.3390/futuretransp3010012openalex-snapshot
A Secure Traffic Police Remote Sensing Approach via a Deep Learning-Based Low-Altitude Vehicle Speed Detector through UAVs in Smart Cites: Algorithm, Implementation and Evaluation
inferred← citeshttps://doi.org/10.3390/make5030041openalex-snapshot
Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review
inferred← citeshttps://doi.org/10.3390/rs15143462openalex-snapshot
Few-Shot Object Detection in Remote Sensing Imagery via Fuse Context Dependencies and Global Features
inferred← citeshttps://doi.org/10.3390/s23177361openalex-snapshot
Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian Interactions
inferred← citeshttps://doi.org/10.3390/vehicles7040149openalex-snapshot
Advanced Multi-Modal Sensor Fusion System for Detecting Falling Humans: Quantitative Evaluation for Enhanced Vehicle Safety
inferred← citeshttps://doi.org/10.3390/vehicles8060136openalex-snapshot
A Multi-Modal AI System for Detecting Pedestrians Lying on the Road: Simulation-Based Safety and Injury Risk Analysis
inferred← citeshttps://doi.org/10.4018/978-1-6684-7216-3.ch004openalex-snapshot
Role of NLP and Deep Learning for Multimedia Data Processing and Security
inferred← citeshttps://doi.org/10.4018/978-1-6684-8618-4.ch004openalex-snapshot
A Comprehensive Review on Algorithms of Image Processing for Autonomous and Electric Vehicles
inferred← citeshttps://doi.org/10.7753/ijcatr1308.1008openalex-snapshot
Revolutionizing IT Infrastructure: The Impact of AI and Deep Learning on Business Digital Transformation
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