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Journal articles on the topic 'Self drivings'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Klongvessa, Natsuda, Christophe Ybert, Cécile Cottin-Bizonne, Takeshi Kawasaki, and Mathieu Leocmach. "Aging or DEAD: Origin of the non-monotonic response to weak self-propulsion in active glasses." Journal of Chemical Physics 156, no. 15 (2022): 154509. http://dx.doi.org/10.1063/5.0087578.

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Among amorphous states, glass is defined by relaxation times longer than the observation time. This nonergodic nature makes the understanding of glassy systems an involved topic, with complex aging effects or responses to further out-of-equilibrium external drivings. In this respect, active glasses made of self-propelled particles have recently emerged as a stimulating systems, which broadens and challenges our current understanding of glasses by considering novel internal out-of-equilibrium degrees of freedom. In previous experimental studies we have shown that in the ergodicity broken phase,

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2

T., Dr Manikandan. "Self Driving Car." International Journal of Psychosocial Rehabilitation 24, no. 5 (2020): 380–88. http://dx.doi.org/10.37200/ijpr/v24i5/pr201704.

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3

D S, Sri Ramu, and Kaparthi Sai Vandana. "AI Technology in Self-Driving Cars." International Journal of Research Publication and Reviews 4, no. 5 (2023): 1602–6. http://dx.doi.org/10.55248/gengpi.234.5.40276.

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4

Harkusha, Inesa, and Andrey Ye Kryzhanovsky. "SELF-ACTUALIZATION, SELF-DETERMINATION AND SELF-REALIZATION AS A DRIVING FORCE OF CAREER ORIENTATION." Bulletin of Alfred Nobel University Series "Pedagogy and Psychology" 2, no. 20 (2020): 17–24. https://doi.org/10.32342/2522-4115-2020-2-20-2.

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The article analyzes the works of Ukrainian and foreign scientists to clarify the essence of the issue which is associated with the personal development of a person, namely, self-actualization, self-determina- tion and self-realization. The results of a detailed analysis of the psychological and pedagogical literature suggest that the concepts of “self-actualization”, “self-realization” and “self-determination” should be dis- tinguished despite their semantic relations. It is emphasized that self-determination and self-actualization of the career orientation of university students are directly

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5

李建良, 李建良. "智慧駕駛的法學思辨──自動駕駛法學的試車之旅". 月旦法學雜誌 327, № 327 (2022): 94–114. http://dx.doi.org/10.53106/1025593132705.

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6

D., Divya Kalpana, Keerthi K., Vishnu Priya B., Mutyalanna Ch., and Malleswari B. "Lane Detection and Traffic Sign for Autonomous Cars." Recent Innovations in Wireless Network Security 4, no. 3 (2023): 1–9. https://doi.org/10.5281/zenodo.7541116.

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Autonomous Vehicles are another term for self-driving cars. This vehicle can detect its surroundings. These perceived limits processed, and also varied actuators within the automobile operate with none human intervention. These perceived limits are managed, therefore numerous actuators within automotive operate with none human intervention. All Automated Functions are performed by autonomous vehicles using sensors, actuators, machine learning algorithms, and software. Autonomous vehicles are heavily reliant on software. The software architecture connects the hardware to the application. AUTOSA

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7

Ahmed, Mohamed, Mostafa Hegazy, Alexandr Sergeyevich Klimchik, and Riby Abraham Boby. "Lidar and camera data fusion in self-driving cars." Computer Research and Modeling 14, no. 6 (2022): 1239–53. http://dx.doi.org/10.20537/2076-7633-2022-14-6-1239-1253.

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8

Shweta, S. Darekar, and Anandhi Giri Dr. "Problems in Autonomous Driving System of Smart Cities in IoT." International Journal of Trend in Scientific Research and Development 4, no. 2 (2020): 945–49. https://doi.org/10.5281/zenodo.3843231.

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This paper focuses on the problems and challenges during self driving. In the modern era, technologies are getting advanced day by day. The field of smart city has introduced a new technology called "Autonomous Driving". Autonomous driving can be defined as Self Driving, Automated Vehicle. Google has started working on this type of system since 2010 and still in the phase of making changes in this technology to take it to a higher level. Any technology can reach up to an advanced level but it cannot provide a full fledged result. This paper facilitates the researchers to understand t

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9

Marris, Laura. "SELF ‐ DRIVING." Yale Review 106, no. 3 (2018): 90. http://dx.doi.org/10.1353/tyr.2018.0059.

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10

Marris, Laura. "SELF - DRIVING." Yale Review 106, no. 3 (2018): 90. http://dx.doi.org/10.1111/yrev.13383.

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11

Won, Jae-Kyung, and Sang-Heon Lee. "Effect of Driving Simulator Training on Patients' Driving Performance and Self-Efficacy with Paraplegia due to Spinal Cord Injury." Korean Society of Medicine & Therapy Science 15, no. 2 (2023): 37–44. http://dx.doi.org/10.31321/kmts.2023.15.2.37.

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Objective: The purpose of this study was to investigate the effect of driving simulator training on the driving performance and self-efficacy of paraplegic patients with spinal cord injury. Method: Driving simulator training was provided to 12 participants with within subjects design, three sessions of basic driving, seven sessions of driving on the driving simulator. After training, performance time and operational performance scores, self-efficacy were analyzed. Results: This study found that the intervention by the driving simulator had statistically significant effects on drivi

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12

Coelingh, Erik, Jonas Nilsson, and Jude Buffum. "Driving tests for self-driving cars." IEEE Spectrum 55, no. 3 (2018): 40–45. http://dx.doi.org/10.1109/mspec.2018.8302386.

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13

Sharma, Shubhankar, and Vatsala Arora. "Self-Driving Cars." International Journal of Computer Science and Mobile Computing 10, no. 10 (2021): 1–6. http://dx.doi.org/10.47760/ijcsmc.2021.v10i10.001.

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Significant improvements in the last decade have greatly advanced self-driving car technology. These new capabilities will have profound global impacts that could markedly change society, not to mention the significant improvements they bring to the overall efficiency, convenience, and safety of our roadways and transportation systems. Addressing self-driving technology-related concerns is important, particularly given these broad potential impacts. In this paper, we are exploring the possibility of.

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14

Grunwald, A. "Self-Driving Cars:." Delphi - Interdisciplinary Review of Emerging Technologies 1, no. 1 (2018): 8–13. http://dx.doi.org/10.21552/delphi/2018/1/7.

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15

Casey, Anthony J., and Anthony Niblett. "Self-driving laws." University of Toronto Law Journal 66, no. 4 (2016): 429–42. http://dx.doi.org/10.3138/utlj.4006.

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16

Sethumadhavan, Arathi. "Self-Driving Cars." Ergonomics in Design: The Quarterly of Human Factors Applications 25, no. 2 (2017): 25. http://dx.doi.org/10.1177/1064804617697283.

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17

Daily, Mike, Swarup Medasani, Reinhold Behringer, and Mohan Trivedi. "Self-Driving Cars." Computer 50, no. 12 (2017): 18–23. http://dx.doi.org/10.1109/mc.2017.4451204.

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18

Diels, Cyriel, and Jelte E. Bos. "Self-driving carsickness." Applied Ergonomics 53 (March 2016): 374–82. http://dx.doi.org/10.1016/j.apergo.2015.09.009.

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19

Tamil Selvan B and Srirangarajalu N. "Self-Driving Car." international journal of engineering technology and management sciences 7, no. 4 (2023): 275–80. http://dx.doi.org/10.46647/ijetms.2023.v07i04.038.

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An autonomous vehicle is a self-driving vehicle that uses various sensors, cameras, and advanced algorithms to sense the surrounding environment, make decisions and navigate without human intervention. These vehicles are rapidly evolving and have the potential to revolutionize the transportation industry by offering increased safety, efficiency, and accessibility. Autonomous vehicles are expected to bring significant benefits such as reduced traffic congestion, lower emissions, and increased mobility for people who cannot drive. However, there are still many challenges that need to be addresse

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20

Patinge, Sushant. "Self-Driving Car." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 240–44. http://dx.doi.org/10.22214/ijraset.2023.50830.

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Abstract: The evolution of Internet of Things has served up the catalyst in the field of technology. Automobile manufacturers such as Ford, Audi, Hyundai, Tesla, and other companies are investing billions of dollars in autonomous vehicle driving research. According to the new information, in the next 30 years, this fast-developing industry will be worth $ 7 trillion. This will create a shift on the way cities are planned, as less parking spots will be needed, and secondly, in a developed city with most of its vehicles being connected and autonomous, traffic optimization will be able to be stro

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21

Asati, Sudiksha. "Self Driving Car." International Journal of Science, Engineering and Technology 12, no. 2 (2024): 1–6. http://dx.doi.org/10.61463/ijset.vol.12.issue2.138.

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22

Freer, Elaine. "DRIVING FORCE: SELF-DEFENCE AND DANGEROUS DRIVING." Cambridge Law Journal 77, no. 1 (2018): 9–12. http://dx.doi.org/10.1017/s0008197318000144.

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23

Lazuras, Lambros, Richard Rowe, Antonia Ypsilanti, Isabelle Smythe, Damian Poulter, and John Reidy. "Driving self-regulation and risky driving outcomes." Transportation Research Part F: Traffic Psychology and Behaviour 91 (November 2022): 461–71. http://dx.doi.org/10.1016/j.trf.2022.10.027.

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24

Prof, D. P. Radke, Bawankar Vaibhav, Deshmukh Sagar, Lambat Gauri, and Kharwade Bhargavi. "Artificial Intelligence Based Self-Driving Car." Advancement of Computer Technology and its Applications 3, no. 1 (2020): 1–9. https://doi.org/10.5281/zenodo.3698550.

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<em>In this modern era, the Automobile Industry is getting updated day by day with the implementation of the latest technologies in vehicles. Artificial Intelligence and Machine Learning are some of the best trending and useful technologies in the world. Google, the expert in technologies, working on such projects since 2010 and continuously making modifications to it to date. In this paper, we focus on the implementation of all these advanced technologies in the vehicle to make the vehicle automated. Vehicles can detect and analyze their surroundings with the help of OpenCV by which vehicles

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25

Dubey, Ashutosh, and Prabakaran N. "SELF-DRIVING CAR SIMULATION." International Research Journal of Computer Science 07, no. 05 (2020): 66–69. http://dx.doi.org/10.26562/irjcs.2020.v0705.002.

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26

Phansekar, Soham. "LIDAR Self Driving Car." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (2021): 1334–37. http://dx.doi.org/10.22214/ijraset.2021.38621.

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Abstract: Increasing population is the major issue of transportation nowadays. People who live and work in the major cities of the world are faced with increasing levels of congestion, delays, total travel time, costs, frustration, accidents and loss of life. The objective of this project is to help prevent traffic accidents and save people’s time by fundamentally changing car use. The system would have sensors to detect the obstacles and to be able to react according to their position. In this project we have developed an automated driving system which drives the car automatically. We have de

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27

M R, Prajwal. "Self-Driving Autonomous Car." International Journal for Research in Applied Science and Engineering Technology 8, no. 8 (2020): 260–63. http://dx.doi.org/10.22214/ijraset.2020.30866.

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28

Cusumano, Michael A. "Self-driving vehicle technology." Communications of the ACM 63, no. 10 (2020): 20–22. http://dx.doi.org/10.1145/3417074.

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29

Tyler, Neil. "UK Self-Driving Record." New Electronics 53, no. 3 (2020): 8. http://dx.doi.org/10.12968/s0047-9624(22)61105-2.

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30

Thakur, Deepak Kumar. "Automatic Self Driving Car." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30742.

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This project deals with building an autonomous car that can travel safely and intelligently avoiding the risk of human errors. This raspberry Pi based project can detect the obstacles & traffic light. It can compare the data processed with the data provided to it and is able to take an intelligent decision whether to stop or continue its present path. Important components involved in this project are - the hardware platform which includes raspberry pi board, all the hardware like pi camera and the ultrasonic sensor for improved efficiency & the camera used along with an ultrasonic sens

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31

Ashutosh, Dubey, and N. Prabakaran. "SELF-DRIVING CAR SIMULATION." International Research Journal of Computer Science VII, no. V (2020): 66–69. https://doi.org/10.26562/irjcs.2020.v0705.002.

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For the recent years, there has been a flood of enthusiasm for self-driving vehicles. This is because of forward leaps in the field of deep learning where deep neural networks are trained to perform tasks that usually require human intervention.CNN apply models to distinguish examples and highlights in pictures, making them helpful in the field of Computer Vision. Instances of these are object detection, image classification, image captioning, etc. In this project, we have prepared a CNN utilizing pictures captured by a simulated vehicle so as to drive the vehicle self-sufficiently. The CNN le

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32

Reddy Adavelli, Sateesh. "Autonomous Claims Processing: Building Self-Driving Workflows with Gen AI and ML in Guidewire." International Journal of Science and Research (IJSR) 13, no. 12 (2024): 1348–57. https://doi.org/10.21275/sr241221052213.

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33

Liu, Haoge, Zeyu Shen, and Wei Shang. "A Driving Strategy Model of Self-Driving Cars." Journal of Computer and Communications 05, no. 05 (2017): 42–49. http://dx.doi.org/10.4236/jcc.2017.55004.

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34

Yu,, Zhen, Jie Mei, and Ding fang Chen. "Design and Experiment Research of Micro-feed Self-sensing Micro-Driving System Based on GMM." International Journal of Engineering and Technology 3, no. 6 (2011): 587–94. http://dx.doi.org/10.7763/ijet.2011.v3.290.

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35

Bae, Il, Jaeyoung Moon, and Shiho Kim. "Driving Preference Metric-Aware Control for Self-Driving Vehicles." International Journal of Intelligent Engineering and Systems 12, no. 6 (2019): 157–66. http://dx.doi.org/10.22266/ijies2019.1231.15.

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36

Ross, Lesley A., Joan E. Dodson, Jerri D. Edwards, Michelle L. Ackerman, and Karlene Ball. "Self-rated driving and driving safety in older adults." Accident Analysis & Prevention 48 (September 2012): 523–27. http://dx.doi.org/10.1016/j.aap.2012.02.015.

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37

Xiang, Yicheng. "Autonomous Driving Ethics: Self-driving Cars Facing Trolley Problems." Lecture Notes in Education Psychology and Public Media 15, no. 1 (2023): 96–102. http://dx.doi.org/10.54254/2753-7048/15/20231039.

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The trolley problem has always been one of the most famous ethical dilemmas in human history, arousing millions of arguments and discussions. When self-driving cars, as products of our new age, encounter the trolley problem, the decisions made will be different from those of human beings due to the particularity of the cars and the autopilot algorithm. This paper will first determine the definition and scope of the trolley problem, and then compare the difference between autonomous cars and traditional ones. It then proposes possible guidance for the autopilot algorithms from legal and ethical

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38

TAKEDA, Kazuya. "Democratization of self-driving technologies." Proceedings of Mechanical Engineering Congress, Japan 2020 (2020): K18100. http://dx.doi.org/10.1299/jsmemecj.2020.k18100.

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39

Echefu, Samuel, Jacob Lauzon, Suvam Bag, Rasika Kangutkar, Amar Bhatt, and Raymond Ptucha. "Milpet – The Self-Driving Wheelchair." Electronic Imaging 2017, no. 19 (2017): 41–49. http://dx.doi.org/10.2352/issn.2470-1173.2017.19.avm-019.

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40

Cao, Guoyang, Haoyu Zhang, Guoqing Chen, and Xiaofeng Li. "Ambipolar Self-Driving Polarized Photodetection." ACS Photonics 8, no. 8 (2021): 2459–65. http://dx.doi.org/10.1021/acsphotonics.1c00691.

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41

Rane, Vedant, Hrithik Poojari, Prasan Sharma, Soham Phansekar, and Prof Prajakta Pawar. "LiDAR Based Self-Driving Car." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 261–70. http://dx.doi.org/10.22214/ijraset.2022.41213.

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Abstract: LiDAR, typically used as an acronym for “’light detection and ranging’”, is essentially a sonar that uses pulsed laser waves to map the distance to surrounding objects. It is used by a large number of autonomous vehicles to navigate environments in real time. Its advantages include impressively accurate depth perception, which allows LiDAR to know the distance to an object to within a few centimetres, up to 60 metres away. It’s also highly suitable for 3D mapping, which means returning vehicles can then navigate the environment predictably —a significant benefit for most self-driving

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42

Ghube, Parth. "Anatomy of Self Driving Vehicle." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 393–401. http://dx.doi.org/10.22214/ijraset.2021.36334.

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The concept of Autonomous Vehicles portrayed in several Science Fiction mediums is now close to commercial reality. The new technology has the potential to change the conventional Transportation Industry. If implemented successfully, it will benefit society as a whole. As emerging as it seems; it also raises some serious challenges. This paper presents a systematic outline of the key components of Self Driving vehicles, current systems used, an overview of the Decision-making models, future scope and the practical challenges faced while developing and deploying the technology.

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43

Cao, Guoyang, Haoyu Zhang, Changlei Wang, and Xiaofeng Li. "Self‐Driving Perovskite Dember Photodetectors." Advanced Optical Materials 10, no. 5 (2022): 2101821. http://dx.doi.org/10.1002/adom.202101821.

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44

LI, Deyi, Jiahong LI, Nan MA, and Yue GAO. "Interactive cognition in self-driving." SCIENTIA SINICA Informationis 48, no. 8 (2018): 1083–96. http://dx.doi.org/10.1360/n112018-00028.

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45

Hecht, Jeff. "Lidar for Self-Driving Cars." Optics and Photonics News 29, no. 1 (2018): 26. http://dx.doi.org/10.1364/opn.29.1.000026.

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46

Shinghal, Udit, Yashwanth A. V. Mowdhgalya, Vaibhav Tiwari, and Achyutha Prasad N. "Centaur - A Self-Driving Car." International Journal of Computer Trends and Technology 68, no. 4 (2020): 129–31. http://dx.doi.org/10.14445/22312803/ijctt-v68i4p121.

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47

Nees, Michael A. "Acceptance of Self-driving Cars." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 1449–53. http://dx.doi.org/10.1177/1541931213601332.

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Despite enthusiastic speculation about the potential benefits of self-driving cars, to date little is known about the factors that will affect drivers’ acceptance or rejection of this emerging technology. Gaining acceptance from end users will be critical to the widespread deployment of self-driving vehicles. Long-term acceptance may be harmed if initial acceptance is built upon unrealistic expectations developed before people interact with these systems. A brief (24-item) measurement scale was created to assess acceptance of self-driving cars. Before completing the scale, participants were ra

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48

Etzioni, Shelly, Ido Erev, Robert Ishaq, Wafa Elias, and Yoram Shiftan. "Self-monitoring of driving speed." Accident Analysis & Prevention 106 (September 2017): 76–81. http://dx.doi.org/10.1016/j.aap.2017.05.024.

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49

Sharma, Harsh, Shanky Goyal, and Navleen Kaur. "Survey on Self Driving Vehicle." CGC International Journal of Contemporary Technology and Research 2, no. 2 (2020): 106–9. http://dx.doi.org/10.46860/cgcijctr.2020.06.26.106.

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In this paper we have done survey about the technology of self-driving vehicles also known as autonomous vehicles. Along with this we are going to summarize the future of technology based on benefits and problems. In between the process we also found some important levels of this technology. This idea is already implemented in many foreign countries. And it has been proved worthful and successful also. So here, we will discuss about some of the basic info about this technology, levels, impacts, some communication on this topic in other countries along with the final conclusion. That whether it

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50

Badue, Claudine, Rânik Guidolini, Raphael Vivacqua Carneiro, et al. "Self-driving cars: A survey." Expert Systems with Applications 165 (March 2021): 113816. http://dx.doi.org/10.1016/j.eswa.2020.113816.

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