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Preceding Vehicle Detection Using Faster R-CNN Based on Speed Classification Random Anchor and Q-Square Penalty Coefficient

https://doi.org/10.3390/electronics8091024

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/s00138-011-0355-7openalex-snapshot

Symmetry-based monocular vehicle detection system

inferredcites →https://doi.org/10.1007/s00138-011-0388-yopenalex-snapshot

Active learning for on-road vehicle detection: a comparative study

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot

Selective Search for Object Recognition

inferredcites →https://doi.org/10.1016/j.ijleo.2016.05.092openalex-snapshot

Real-time vehicle detection using histograms of oriented gradients and AdaBoost classification

inferredcites →https://doi.org/10.1016/j.trit.2016.03.003openalex-snapshot

A study on key technologies of unmanned driving

inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot

A Tutorial on Support Vector Machines for Pattern Recognition

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

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.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/iccv.1998.710772openalex-snapshot

A general framework for object detection

inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot

Fast R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.30openalex-snapshot

S^3FD: Single Shot Scale-Invariant Face Detector

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.593openalex-snapshot

Soft-NMS — Improving Object Detection with One Line of Code

inferredcites →https://doi.org/10.1109/icivc.2017.7984522openalex-snapshot

Fine-grained object detection based on self-adaptive anchors

inferredcites →https://doi.org/10.1109/icpr.2006.479openalex-snapshot

Efficient Non-Maximum Suppression

inferredcites →https://doi.org/10.1109/iscid.2018.00068openalex-snapshot

Research on Vehicle Object Detection Method Based on Convolutional Neural Network

inferredcites →https://doi.org/10.1109/isise.2008.308openalex-snapshot

Scale Space Histogram of Oriented Gradients for Human Detection

inferredcites →https://doi.org/10.1109/ivs.2006.1689658openalex-snapshot

Multi-class Object Detection in Vision Systems Using a Hierarchy of Cascaded Classifiers

inferredcites →https://doi.org/10.1109/ivs.2009.5164330openalex-snapshot

Car detection using multi-feature selection for varying poses

inferredcites →https://doi.org/10.1109/ivs.2017.7995812openalex-snapshot

Scale optimization for full-image-CNN vehicle detection

inferredcites →https://doi.org/10.1109/tits.2002.804752openalex-snapshot

Preceding vehicle recognition based on learning from sample images

inferredcites →https://doi.org/10.1109/tits.2016.2533542openalex-snapshot

On-Road Vehicle Detection and Tracking Using MMW Radar and Monovision Fusion

inferredcites →https://doi.org/10.1109/tits.2017.2658662openalex-snapshot

Overview of Environment Perception for Intelligent Vehicles

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/tvt.2013.2242910openalex-snapshot

A Fast Evolutionary Algorithm for Real-Time Vehicle Detection

inferredcites →https://doi.org/10.1177/0278364913491297openalex-snapshot

Vision meets robotics: The KITTI dataset

inferredcites →https://doi.org/10.2307/2346830openalex-snapshot

Algorithm AS 136: A K-Means Clustering Algorithm

inferredcites →https://doi.org/10.3390/electronics7060078openalex-snapshot

Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network

inferredcites →https://doi.org/10.3390/electronics8010105openalex-snapshot

Energy-Efficient Gabor Kernels in Neural Networks with Genetic Algorithm Training Method

inferredcites →https://doi.org/10.3390/electronics8080825openalex-snapshot

A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network

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/s140815325openalex-snapshot

Preceding Vehicle Detection and Tracking Adaptive to Illumination Variation in Night Traffic Scenes Based on Relevance Analysis

inferredcites →https://doi.org/10.3390/s18072258openalex-snapshot

Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance

inferredcites →https://doi.org/10.3390/s19051089openalex-snapshot

Anchor Generation Optimization and Region of Interest Assignment for Vehicle Detection

inferredcites →https://doi.org/10.3837/tiis.2019.04.003openalex-snapshot

A method based on Multi-Convolution layers Joint and Generative Adversarial Networks for Vehicle Detection

inferredcites →https://doi.org/10.4271/980853openalex-snapshot

Development of a Collision Avoidance System

inferredcites →https://doi.org/10.4310/sii.2009.v2.n3.a8openalex-snapshot

Multi-class AdaBoost

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1708.02002openalex-snapshot

Focal Loss for Dense Object Detection

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781394355471.ch4openalex-snapshot

An Efficient System for Skin Disease Detection and Localization Using Faster Region Based Convolutional Neural Networks with Inception Architecture

inferred← citeshttps://doi.org/10.1007/978-3-031-51796-9_25openalex-snapshot

Self-Driving Cars Perception Pedestrian Detection

inferred← citeshttps://doi.org/10.1088/1742-6596/1802/3/032075openalex-snapshot

Preceding Vehicle Detection Based on Optimized Faster R-CNN Algorithm

inferred← citeshttps://doi.org/10.1109/maes.2021.3140064openalex-snapshot

Deep Learning Approach for Fixed and Rotary-Wing Target Detection and Classification in Radars

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00478openalex-snapshot

Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration

inferred← citeshttps://doi.org/10.3390/e23111490openalex-snapshot

A Nighttime Vehicle Detection Method with Attentive GAN for Accurate Classification and Regression

inferred← citeshttps://doi.org/10.3390/e25010135openalex-snapshot

A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.3390/electronics10101207openalex-snapshot

Autonomous Vehicles Technological Trends

inferred← citeshttps://doi.org/10.3390/electronics14081585openalex-snapshot

An Array-Radar-Based Frequency-Modulated Continuous-Wave Synthetic Aperture Radar Imaging System and Fast Detection Method for Targets

inferred← citeshttps://doi.org/10.3390/electronics8121464openalex-snapshot

StoolNet for Color Classification of Stool Medical Images

inferred← citeshttps://doi.org/10.62527/joiv.8.1.2313openalex-snapshot

Boosting Vehicle Classification with Augmentation Techniques across Multiple YOLO Versions

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