Simulation of Pedestrian Detection in Urban Environment

Hanko Lukáš; Magdolen Ľuboš; Danko Ján; Milesich Tomáš; Križan Peter; Skyrčák Robert

doi:10.2478/scjme-2021-0023

.blurhash-client-img { display: none !important; }

Simulation of Pedestrian Detection in Urban Environment

Strojnícky časopis - Journal of Mechanical Engineering

Volume 71 (2021): Issue 2 (November 2021)

By: Hanko Lukáš, Magdolen Ľuboš, Danko Ján, Milesich Tomáš, Križan Peter and Skyrčák Robert

Open Access

|Dec 2021

Abstract

Autonomous systems have great potential for future transportation. Even though we have third level autonomous vehicles, that are able to move from place A to place B without drivers’ intervention in present, we have still a long journey ahead to complete autonomy. In this article we are dealing with analysis of potential of autonomous vehicles in city transportation. According to high density of pedestrians in urban traffic it is very important to note autonomous vehicles safety.

References

[1] Gibson, B. “Analysis of Autonomous Vehicle Policies”, Kentucky Transportation Center, Lexington, Kentucky, 2017. DOI: 10.13023/KTC.RR.2016.29
Search in Google Scholar Back to article
[2] Liu, J., Sun, Q., Fan, Z., Jia, Y. “TOF Lidar Development in Autonomous Vehicle”, In: IEEE 3^rd Optoelectronics Global Conference, Shenzhen, China, pp. 185 – 190, 2018. DOI: 10.1109/OGC.2018.8529992
Search in Google Scholar Back to article
[3] Van Brummelen, J., O’Brien, M., Gruyer, D., Najjaran, H. “Autonomous vehicle perception: The technology of today and tomorrow”, Transportation Research Part C: Emerging Technologies, 89, pp. 384 - 406, 2018. DOI: 10.1016/j.trc.2018.02.012
Search in Google Scholar Back to article
[4] Meinel, H. H., Bösch, W. “Radar Sensors in Cars”, In: Automated Driving, Springer, Basel, Switzerland, pp. 245 – 261, 2017. DOI: 10.1007/978-3-319-31895-0
Search in Google Scholar Back to article
[5] Bhuiyan, I. K. A. “LiDAR Sensor for Autonomous Vehicle”, Technische Universität Chemnitz, Chemnitz, Germany, pp. 5, 2017.
Search in Google Scholar Back to article
[6] Chae, H., Kang, Ch. M., Kim, B., Kim, J., et al. “Autonomous Braking System via Deep Reinforcement Learning”, In: IEEE 20^th International Conference on Intelligent Transportation Systems, Yokohama, Japan, pp. 1 – 6, 2017. DOI: 10.1109/ITSC.2017.8317839
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.2478/scjme-2021-0023 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

Journal RSS Feed

Language: English

Page range: 121 - 130

Published on: Dec 7, 2021

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

safety,

Related subjects:

Mechanical engineering,

Fundamentals of mechanical engineering,

Mechanics

© 2021 Hanko Lukáš, Magdolen Ľuboš, Danko Ján, Milesich Tomáš, Križan Peter, Skyrčák Robert, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 71 (2021): Issue 2 (November 2021)