Relevant bibliographies by topics / Motorcycle Vehicle detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Motorcycle Vehicle detection'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Motorcycle Vehicle detection"

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Shabestari, Zahra Badamchi, Ali Hosseininaveh, and Fabio Remondino. "Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle." Remote Sensing 15, no. 23 (2023): 5548. http://dx.doi.org/10.3390/rs15235548.

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Motorcycle detection and collision warning are essential features in advanced driver assistance systems (ADAS) to ensure road safety, especially in emergency situations. However, detecting motorcycles from videos captured from a car is challenging due to the varying shapes and appearances of motorcycles. In this paper, we propose an integrated and innovative remote sensing and artificial intelligence (AI) methodology for motorcycle detection and distance estimation based on visual data from a single camera installed in the back of a vehicle. Firstly, MD-TinyYOLOv4 is used for detecting motorcy
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Marayatr, Thepnimit, and Pinit Kumhom. "Motorcyclist's Helmet Wearing Detection Using Image Processing." Advanced Materials Research 931-932 (May 2014): 588–92. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.588.

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Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. The helmet is the main safety equipment of motorcyclists but many drivers do not use it. If a motorcyclist is without helmet an accident can be fatal. This paper presented an automatic method for vehicle detection, motorcycles classification on public roads and a system for automatic detection of motorcyclists without helmet. For processing, in first step, we detect vehicles that moving real-time by extracting
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Masula, Jess, Reimar Tingga, Julie Ann Salido, Jing Chor Española, and Gazle Kent Gillesania. "Motorcycle Recognition System Using Convolutional Neural Network." Journal of Innovative Technology Convergence 6, no. 3 (2024): 91–98. http://dx.doi.org/10.69478/jitc2024v6n3a09.

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Vehicle detection is becoming increasingly important for highway management, particularly in Aklan, where motorcycles and tricycles are the predominant modes of transportation. Due to their diverse designs, accurate detection of these vehicles remains challenging. This study addresses this issue by developing a vision-based motorcycle recognition system using a Convolutional Neural Network (CNN) implemented in MATLAB. A new high-definition dataset, comprising 34,002 annotated instances from 17,785 motorcycle images and 16,217 tricycle images, was created. The dataset was collected from various
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Vali Y, Dr Sharmasth. "A Comprehensive IoT-Based Bike Crash Detection and Emergency Response System for Enhanced Road Safety." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28064.

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Motorcycle travel, deemed one of the riskiest modes of transportation, faces a staggering fatality rate, with 212.7 deaths for every million miles travelled. Unlike enclosed vehicles, motorcycles expose riders to their surroundings, heightening the need for proactive safety measures. This paper explores the development and implementation of a Motorcycle Crash Detection and Alert System (MCDAS) utilizing the Multi-axes accelerometer. The system is designed to detect when a motorcycle falls and promptly alert emergency services and contacts via Firebase cloud. The study delves into the challenge
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Abdul Khalid, M. S., Z. H. Zulkipli, M. S. Solah, et al. "A Review of Motorcycle Safety Technologies from the Motorcycle and Passenger Car Perspectives." Journal of the Society of Automotive Engineers Malaysia 5, no. 3 (2021): 417–29. http://dx.doi.org/10.56381/jsaem.v5i3.184.

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 Motorcycle riders have been the top contributor to road deaths for over a decade in Malaysia. With proper safety technology systems installed on the upcoming models, it is predicted that motorcycle crashes and deaths can be reduced in the next decade. This study aims to review the past, recent, and upcoming vehicle safety technologies from the motorcycle and passenger car perspective that can potentially help reduce motorcycle crashes and injury risks. Various safety technologies have been introduced for passenger cars such as anti-lock braking systems, electronic stabilit
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Ballesteros, John R., German Sanchez-Torres, and John W. Branch-Bedoya. "HAGDAVS: Height-Augmented Geo-Located Dataset for Detection and Semantic Segmentation of Vehicles in Drone Aerial Orthomosaics." Data 7, no. 4 (2022): 50. http://dx.doi.org/10.3390/data7040050.

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Detection and Semantic Segmentation of vehicles in drone aerial orthomosaics has applications in a variety of fields such as security, traffic and parking management, urban planning, logistics, and transportation, among many others. This paper presents the HAGDAVS dataset fusing RGB spectral channel and Digital Surface Model DSM for the detection and segmentation of vehicles from aerial drone images, including three vehicle classes: cars, motorcycles, and ghosts (motorcycle or car). We supply DSM as an additional variable to be included in deep learning and computer vision models to increase i
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Nikita, Gosavi, Hirani Dhawal, Budhwant Ankita, Patil Rahul, and Joshi Harshal. "Helfine: Real-Time Helmet Violation Detection with Automated Fine System." International Journal of Innovative Science and Research Technology (IJISRT) 10, no. 2 (2025): 1413–20. https://doi.org/10.5281/zenodo.14964338.

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Motorcycles have traditionally been one of the most widely used modes of transportation in developing countries. However, in recent times, the number of motorcycle accidents has increased. One of the major contributing factors to these accidents is the absence of helmets worn by riders. Traffic authorities monitor road intersections, review CCTV footage, and take action against motorcyclists who fail to comply with helmet regulations. Enforcing this rule typically requires human intervention, making it a labor-intensive process. To address this issue, this project proposes an automated system
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Phalke, Ashwini, Vaishnavi Hambir, Namrata Utekar, Sudharshni Nadar, and Jueab Shaikh. "SAFEPARK: Vehicle Detection and Traffic Violation Parking Management System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4260–67. http://dx.doi.org/10.22214/ijraset.2024.61035.

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Abstract: The escalating motorcycle accident rates highlight the pressing need for improved safety measures. Helmets, a crucial safety gear, are often neglected, contributing significantly to fatalities. This paper addresses the pervasive issue of noncompliance with motorcycle safety rules, focusing on helmet usage and triple riding. Existing systems for monitoring lack precision, prompting our proposed Bike Traffic Violation System. Leveraging Haar Cascade and YOLOv3 models, it identifies motorcycles, detects riders without helmets, instances of triple riding, and even empty parking spots wit
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Wu, Bing-Fei, Chih-Chung Kao, Ying-Feng Li, and Min-Yu Tsai. "A Real-Time Embedded Blind Spot Safety Assistance System." International Journal of Vehicular Technology 2012 (April 22, 2012): 1–15. http://dx.doi.org/10.1155/2012/506235.

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This paper presents an effective vehicle and motorcycle detection system in the blind spot area in the daytime and nighttime scenes. The proposed method identifies vehicle and motorcycle by detecting the shadow and the edge features in the daytime, and the vehicle and motorcycle could be detected through locating the headlights at nighttime. First, shadow segmentation is performed to briefly locate the position of the vehicle. Then, the vertical and horizontal edges are utilized to verify the existence of the vehicle. After that, tracking procedure is operated to track the same vehicle in the
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Berge, Truls, and Viggo Henriksen. "NEMO project: acoustic detection of vehicle engine speed." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 5 (2021): 970–80. http://dx.doi.org/10.3397/in-2021-1718.

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As part of the EU Horizon2020 project NEMO, SINTEF has developed an algorithm to detect the engine speed of passing vehicles. Some road vehicles can emit abnormal high noise levels or high levels of exhaust gases in urban conditions. The high noise level can be related to aggressive driving (high acceleration and high engine speed), to a modified or malfunctioning exhaust system, or to other vehicle defects. It is well-known that many motorcycles or mopeds often are equipped with non-original exhaust mufflers, giving high noise levels that can be a nuisance to the community. In the NEMO projec
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Dissertations / Theses on the topic "Motorcycle Vehicle detection"

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Chuang, Shih-Hsien, and 莊士賢. "Nighttime Forward Vehicle Deceleration Detection System for Motorcycle." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/23198101113657008169.

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碩士<br>國立臺灣師範大學<br>資訊工程學系<br>104<br>Vision-based driver assistance systems and its related technologies were started to pay attention and develop from about 20 years ago. Visual analyzing the road situation in front of vehicles through camera to assist drivers. Vision-based driver assistance systems for automobile has been gradually consummated. In contrast, vision-based driver assistance systems for motorcycle went unheeded. The quantity of motorcycle and automobile increases year by year, and the quantity of motorcycle is fifty thousand more than automobile per year. Summarizes the above situ
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Book chapters on the topic "Motorcycle Vehicle detection"

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Abraham, Jacob, S. Ganesh, and S. Kannadhasan. "Sensor-Based Vehicle Fuel Theft Detection System Using Microcontroller." In Advanced Technologies for Science and Engineering. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815165586124020019.

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Vehicle fuel theft is one of the key worries of many bike and automobile owners these days. We've all heard stories of fuel being taken from our motorcycles or automobiles, and some of us have even experienced it ourselves. The primary goal of this detector is to prevent such an occurrence. A simple, cost-effective method is suggested here for maintaining vehicle fuel security when the vehicle owner is present anywhere on the planet. This style detector digitally displays the amount of gasoline in the fuel tank. When the gasoline is stolen, a buzzer sounds, alerting the bike's owner. The goal
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Müller-Schneiders, Stefan, and Rajen Wiemers. "Detection of Traffic Signs and Road Users From a Moving Vehicle." In Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0137-5.ch014.

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The topic of this chapter is the implementation and analysis of vision algorithms for the detection of static and dynamic objects in videos. These algorithms are typically components of the visual perception module of modern driver-assistance systems or even autonomous cars. Whereas the vast majority of today's papers from the vision community use convolutional deep neural networks (CNNs), this chapter explores the more traditional approaches, namely HOG (Histogram of Oriented Gradients) as well as SVM (Support Vector Machine). The static and dynamic objects to be recognized are traffic signs
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Conference papers on the topic "Motorcycle Vehicle detection"

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Feng, Jian-Kai, Meng-Lin Chiang, Shih-Hsien Chuang, Chiung-Yao Fang, and Sei-Wang Chen. "Forward Vehicle Deceleration Detection System for Motorcycle at Nighttime." In 2018 IEEE 4th International Conference on Computer and Communications (ICCC). IEEE, 2018. http://dx.doi.org/10.1109/compcomm.2018.8781069.

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Yuan, Wanli, Tiande Mo, Yu Li, Baomin Duan, and Wei Zhong. "ptimization Design of Large-displacement Motorcycle Emission Testing Procedures." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-epv-014.

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Economic and/or practical points to be addressed The large-displacement motorcycles, which engine displacements above 600cc, usually have good acceleration, strong power and large heat dissipation. Due to strict emission requirements leads by the new China IV emission standards that give rise to various problems during tests cycles, and the existing testing facilities and conditions cannot fully meet the testing requirements for such motorcycles. Therefore, the test cycle for the emission of pollutants from large-displacement motorcycles needs to be optimized to further ensure the detection ac
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Duan, Bobo, Wei Liu, Pengyu Fu, Chunyang Yang, Xuezhi Wen, and Huai Yuan. "Real-time on-road vehicle and motorcycle detection using a single camera." In 2009 IEEE International Conference on Industrial Technology - (ICIT). IEEE, 2009. http://dx.doi.org/10.1109/icit.2009.4939585.

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Tasaki, Katsunori. "Research on Misfire Detection Algorithms for Motorcycle Engine Firing at Uneven Intervals." In JSAE/SAE Small Engine Technologies Conference & Exhibition. Society of Automotive Engineers of Japan, 2017. http://dx.doi.org/10.4271/2017-32-0052.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Misfire is the condition where the engine does not fire correctly due to an ignition miss or poor combustion of the air fuel mixture, resulting in serious deterioration of tailpipe emissions due to the discharge of unburned gas. In order to prevent further exacerbating environmental problems, misfire detection is obligatory in On Board Diagnosis (OBD) II systems.&lt;/div&gt;&lt;div class="htmlview paragraph"&gt;OBD II technology for passenger cars cannot be easily adopted to motorcycles for several reasons. However, very
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Cruz, Gerson Gerard L., Aaron Litonjua, Alysia Noreen P. San Juan, Nathaniel J. C. Libatique, Marion Ivan L. Tan, and Jaime Luis E. Honrado. "Motorcycle and Vehicle Detection for Applications in Road Safety and Traffic Monitoring Systems." In 2022 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2022. http://dx.doi.org/10.1109/ghtc55712.2022.9910992.

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MIWA, Satoshi, Yuki IIBOSHI, and Hirotaka FUKUTA. "Study of OBD stageII Misfire Detection System for Small Motorcycles." In Small Engine Technology Conference & Exposition. Society of Automotive Engineers of Japan, 2020. http://dx.doi.org/10.4271/2019-32-0511.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;In recent years, the shift to Fuel Injection (FI) system for motorcycles has been accelerated in response to the enhancement of exhaust emission regulations and the improvement of fuel efficiency for global environmental protection. In addition, On Board Diagnostics (OBD) was introduced to inform users of vehicle abnormalities and failures and prevent from emission failure in the market. OBD stageII requires enlargement of requirements and threshold detection. Seven items are presented in the EU5, Bharat Stage 6 (BS6). T
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Grimaldi, Alberto, Lorenzo Mucciarella, and Francesco Virgilii. "Study of Ion Current Based Misfire Detection in Motorcycle Applications." In JSAE/SAE Small Engine Technologies Conference & Exhibition. Society of Automotive Engineers of Japan, 2017. http://dx.doi.org/10.4271/2017-32-0011.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Concerning internal combustion engines (ICEs), the analysis and evaluation of combustion quality and pollutant agents has drawn the attention of public opinion and worldwide authorities. Moreover, combustion quality in ICEs affects the drivability of motorbikes/cars, a most important quality for the customers’ point of view. The possibility to monitor engine behavior is a target that every car/motorcycle OEM is seeking, so as to comply with legislated pollutant limits. As the EURO V OBD Stage II regulations state, starti
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Watanabe, Atsushi. "Research on Method of Sensor Fault Detection for OBD-II Compliant Motorcycles Based on Temperature Estimation." In Small Engine Technology Conference & Exposition. Society of Automotive Engineers of Japan, 2020. http://dx.doi.org/10.4271/2019-32-0568.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;On-Board Diagnostics II (OBD II), which will be to be introduced into motorcycles in Europe and India, requires that the engine oil and cooling water temperatures be monitored in a rational manner. The rationality of the sensors for engine oil and coolant temperatures (TW sensors) is derived from the ability to detect failure modes such as offset or fixation of unintended output voltage in addition to circuit continuity checks such as sensor harness disconnection and short circuit.&lt;/div&gt;&lt;div class="htmlview para
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Kidd, David, Benoit Anctil, and Dominique Charlebois. "The Effectiveness of Forward Collision Warning Systems in Detecting Real-World Passenger and Nonpassenger Vehicles Relative to a Surrogate Vehicle Target." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-1978.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Automatic emergency braking and forward collision warning (FCW) reduce the incidence of police-reported rear-end crashes by 27% to 50%, but these systems may not be effective for preventing rear-end crashes with nonpassenger vehicles. IIHS and Transport Canada evaluated FCW performance with 12 nonpassenger and 7 passenger vehicle or surrogate vehicle targets in five 2021-2022 model year vehicles. The presence and timing of an FCW was measured as a test vehicle traveling 50, 60, or 70 km/h approached a stationary target a
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Coelho, Chason, Stephen Garets, Jordan Bailey, Todd Frank, Iiona Scully, and David Cades. "Human Factors Issues of Advanced Rider Assistance Systems (ARAS)." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003814.

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Advanced driver assistance systems (ADAS), such as adaptive cruise control (ACC), automatic emergency braking (AEB), and blind-spot monitoring (BSM) for passenger vehicles are becoming ubiquitous, with some features being standard on vehicles. The same is not true for motorcycles. However, limited analogous advanced rider assistance systems (ARAS) have been introduced, and the ARAS market is expected to grow significantly in the coming years. Some reasons for the development and implementation lags of ARAS include functional differences between passenger vehicles and motorcycles, such as lack
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