An Overview of Autonomous Vehicle Sensor

This work is the structure of an autonomous driving system. This paper aims to determine the current state of autonomous vehicles, their potential impacts, and the necessary preparation for smart urban mobility. Autonomous refers to the movement or the work done on its own. Autonomous driving systems are divided into several ways, such as Autonomous under- water vehicles, Autonomous airborne vehicles, and Autonomous land vehicles. The potential benefits of lane autonomous vehicles are to describe the importance of navigation algorithms, speed control methods, adoption factors, and the increased infrastruc- ture needs for Connected autonomous vehicles’ integration. The major key elements are based on sensors,navigation, radar, planning techniques, communication, and software. The results of this research have important implications for future research and the framework of autonomous vehicle technologies in road trans- portation. Index Terms—autonomous driving, sensor, RADAR, navigation, software.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.15679692
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00
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article

An Overview of Autonomous Vehicle Sensor

Zenodo (CERN European Organization for Nuclear Research)
SARS-CoV-2 detection and testing
article

An Overview of Autonomous Vehicle Sensor

article en

Abstract

This work is the structure of an autonomous driving system. This paper aims to determine the current state of autonomous vehicles, their potential impacts, and the necessary preparation for smart urban mobility. Autonomous refers to the movement or the work done on its own. Autonomous driving systems are divided into several ways, such as Autonomous under- water vehicles, Autonomous airborne vehicles, and Autonomous land vehicles. The potential benefits of lane autonomous vehicles are to describe the importance of navigation algorithms, speed control methods, adoption factors, and the increased infrastruc- ture needs for Connected autonomous vehicles’ integration. The major key elements are based on sensors,navigation, radar, planning techniques, communication, and software. The results of this research have important implications for future research and the framework of autonomous vehicle technologies in road trans- portation. Index Terms—autonomous driving, sensor, RADAR, navigation, software.

Zenodo (CERN European Organization for Nuclear Research)
Sathyabama Institute of Science and Technology (IN)
Sustainable cities and communities
Openalex Percentile: Top 48%
SARS-CoV-2 detection and testing
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