Instantaneous time to collision estimation using a constant jerk model and a monocular camera

IF 5.1 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Engineering Science and Technology-An International Journal-Jestech Pub Date : 2025-03-09 DOI:10.1016/j.jestch.2025.102011

Aimad El mourabit , Omar Bouazizi , Mustapha Oussouaddi , Zine El Abidine Alaoui Ismaili , Yassine Attaoui , Mohamed Chentouf

{"title":"Instantaneous time to collision estimation using a constant jerk model and a monocular camera","authors":"Aimad El mourabit , Omar Bouazizi , Mustapha Oussouaddi , Zine El Abidine Alaoui Ismaili , Yassine Attaoui , Mohamed Chentouf","doi":"10.1016/j.jestch.2025.102011","DOIUrl":null,"url":null,"abstract":"<div><div>We present the application of a constant-jerk kinematic model to assess collision risk using a monocular camera (MC) for car-following (CF) scenarios. First, we redefined the metric of Instantaneous Time-to-Collision (ITTC). By employing the Kalman filter (KF) and data extracted from the frames, we estimated the equivalent parameters for distance, velocity, acceleration, and jerk on the image plane. These parameters serve as coefficients for the kinematic model on the image plane and allow for the calculation of the ITTC. Deep convolutional neural networks (DCNN) were employed for object detection and tracking in the experimental setup. The results of these experiments confirm the effectiveness of employing a constant-jerk model for evaluating the risk of collision, in contrast to the constant acceleration and constant-speed models. Furthermore, the results underscore the pivotal parameters for optimization to boost the effective utilization of MC data frames in ITTC estimations using uncalibrated MC.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"64 ","pages":"Article 102011"},"PeriodicalIF":5.1000,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Science and Technology-An International Journal-Jestech","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215098625000667","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}

引用次数: 0

Abstract

We present the application of a constant-jerk kinematic model to assess collision risk using a monocular camera (MC) for car-following (CF) scenarios. First, we redefined the metric of Instantaneous Time-to-Collision (ITTC). By employing the Kalman filter (KF) and data extracted from the frames, we estimated the equivalent parameters for distance, velocity, acceleration, and jerk on the image plane. These parameters serve as coefficients for the kinematic model on the image plane and allow for the calculation of the ITTC. Deep convolutional neural networks (DCNN) were employed for object detection and tracking in the experimental setup. The results of these experiments confirm the effectiveness of employing a constant-jerk model for evaluating the risk of collision, in contrast to the constant acceleration and constant-speed models. Furthermore, the results underscore the pivotal parameters for optimization to boost the effective utilization of MC data frames in ITTC estimations using uncalibrated MC.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Engineering Science and Technology-An International Journal-Jestech Materials Science-Electronic, Optical and Magnetic Materials

CiteScore

11.20

自引率

3.50%

发文量

153

审稿时长

22 days

期刊介绍： Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. The scope of JESTECH includes a wide spectrum of subjects including: -Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing) -Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences) -Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)