An Overview of Autonomous Vehicle Sensor

This work is the structure of an autonomous driving system. This paper aims to determine the current state ofautonomous vehicles, their potential impacts, and the necessary preparation for smart urban mobility. Autonomous refers tothe movement or the work done on its own. Autonomous driving systems are divided into several ways, such as Autonomousunder- water vehicles, Autonomous airborne vehicles, and Autonomous land vehicles. The potential benefits of laneautonomous vehicles are to describe the importance of navigation algorithms, speed control methods, adoption factors, and theincreased 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 implicationsfor future research and the framework of autonomous vehicle technologies in road trans- portation. Index Terms—autonomousdriving, sensor, RADAR, navigation, software.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.15682367
Primary Topic
Autonomous Vehicle Technology and Safety
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)
Autonomous Vehicle Technology and Safety
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 ofautonomous vehicles, their potential impacts, and the necessary preparation for smart urban mobility. Autonomous refers tothe movement or the work done on its own. Autonomous driving systems are divided into several ways, such as Autonomousunder- water vehicles, Autonomous airborne vehicles, and Autonomous land vehicles. The potential benefits of laneautonomous vehicles are to describe the importance of navigation algorithms, speed control methods, adoption factors, and theincreased 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 implicationsfor future research and the framework of autonomous vehicle technologies in road trans- portation. Index Terms—autonomousdriving, sensor, RADAR, navigation, software.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 55%
Autonomous Vehicle Technology and Safety
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