A Review on Autonomous Vehicles: Progress, Methods and Challenges
Vehicular technology has recently gained increasing popularity, and autonomous driving is a hot topic. To achieve safe and reliable intelligent transportation systems, accurate positioning technologies need to be built to factor in the different types of uncertainties such as pedestrian behavior, ra...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/14/2162 |
| _version_ | 1797406739098763264 |
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| author | Darsh Parekh Nishi Poddar Aakash Rajpurkar Manisha Chahal Neeraj Kumar Gyanendra Prasad Joshi Woong Cho |
| author_facet | Darsh Parekh Nishi Poddar Aakash Rajpurkar Manisha Chahal Neeraj Kumar Gyanendra Prasad Joshi Woong Cho |
| author_sort | Darsh Parekh |
| collection | DOAJ |
| description | Vehicular technology has recently gained increasing popularity, and autonomous driving is a hot topic. To achieve safe and reliable intelligent transportation systems, accurate positioning technologies need to be built to factor in the different types of uncertainties such as pedestrian behavior, random objects, and types of roads and their settings. In this work, we look into the other domains and technologies required to build an autonomous vehicle and conduct a relevant literature analysis. In this work, we look into the current state of research and development in environment detection, pedestrian detection, path planning, motion control, and vehicle cybersecurity for autonomous vehicles. We aim to study the different proposed technologies and compare their approaches. For a car to become fully autonomous, these technologies need to be accurate enough to gain public trust and show immense accuracy in their approach to solving these problems. Public trust and perception of auto vehicles are also explored in this paper. By discussing the opportunities as well as the obstacles of autonomous driving technology, we aim to shed light on future possibilities. |
| first_indexed | 2024-03-09T03:29:58Z |
| format | Article |
| id | doaj.art-d90d269f49bd46e0b157faa9d7488a1a |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T03:29:58Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d90d269f49bd46e0b157faa9d7488a1a2023-12-03T14:57:01ZengMDPI AGElectronics2079-92922022-07-011114216210.3390/electronics11142162A Review on Autonomous Vehicles: Progress, Methods and ChallengesDarsh Parekh0Nishi Poddar1Aakash Rajpurkar2Manisha Chahal3Neeraj Kumar4Gyanendra Prasad Joshi5Woong Cho6Department of Computer Science and Engineering, NMIMS University, Mumbai 400056, IndiaDepartment of Computer Science and Engineering, NMIMS University, Mumbai 400056, IndiaDepartment of Computer Science and Engineering, NMIMS University, Mumbai 400056, IndiaDepartment of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala 147004, IndiaDepartment of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala 147004, IndiaDepartment of Computer Science and Engineering, Sejong University, Seoul 05006, KoreaDepartment of Software Convergence, Daegu Catholic University, Gyeongsan 38430, KoreaVehicular technology has recently gained increasing popularity, and autonomous driving is a hot topic. To achieve safe and reliable intelligent transportation systems, accurate positioning technologies need to be built to factor in the different types of uncertainties such as pedestrian behavior, random objects, and types of roads and their settings. In this work, we look into the other domains and technologies required to build an autonomous vehicle and conduct a relevant literature analysis. In this work, we look into the current state of research and development in environment detection, pedestrian detection, path planning, motion control, and vehicle cybersecurity for autonomous vehicles. We aim to study the different proposed technologies and compare their approaches. For a car to become fully autonomous, these technologies need to be accurate enough to gain public trust and show immense accuracy in their approach to solving these problems. Public trust and perception of auto vehicles are also explored in this paper. By discussing the opportunities as well as the obstacles of autonomous driving technology, we aim to shed light on future possibilities.https://www.mdpi.com/2079-9292/11/14/2162autonomous vehiclesself driving carsmotion controlpath planningvehicle cybersecuritypedestrian detection |
| spellingShingle | Darsh Parekh Nishi Poddar Aakash Rajpurkar Manisha Chahal Neeraj Kumar Gyanendra Prasad Joshi Woong Cho A Review on Autonomous Vehicles: Progress, Methods and Challenges Electronics autonomous vehicles self driving cars motion control path planning vehicle cybersecurity pedestrian detection |
| title | A Review on Autonomous Vehicles: Progress, Methods and Challenges |
| title_full | A Review on Autonomous Vehicles: Progress, Methods and Challenges |
| title_fullStr | A Review on Autonomous Vehicles: Progress, Methods and Challenges |
| title_full_unstemmed | A Review on Autonomous Vehicles: Progress, Methods and Challenges |
| title_short | A Review on Autonomous Vehicles: Progress, Methods and Challenges |
| title_sort | review on autonomous vehicles progress methods and challenges |
| topic | autonomous vehicles self driving cars motion control path planning vehicle cybersecurity pedestrian detection |
| url | https://www.mdpi.com/2079-9292/11/14/2162 |
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