Autonomous Electric Vehicle with Integrated ADAS

This research presents the design, development, and testing of an autonomous electric vehicle (EV) integrated with an Advanced Driver Assistance System (ADAS). The project aims to address major challenges in modern transportation, including road safety, urban congestion, and environmental sustainability. The vehicle was designed with a lightweight steel chassis, a rack-and-pinion steering system, and vacuum-assisted hydraulic disc brakes. A gear ratio of 1:4.2 was implemented to optimize torque and speed balance. The electrical system consists of dual 1200 W motors powered by a lithium-ion battery pack, while the ADAS incorporates LiDAR, ultrasonic sensors, and an Xbox Kinect camera, all controlled through a Raspberry Pi 4. Stress analysis confirmed that the chassis could safely withstand a maximum load of 350 kg with a safety factor of 2.02. Experimental results demonstrated a maximum speed of 90 km/h under normal conditions and 40 km/h under full load, with obstacle detection accuracy within 5%. The results validate the proposed design as a cost-effective and efficient platform for autonomous mobility research. The study highlights the potential of low-cost EV prototypes in academic and industrial applications while identifying opportunities for future improvements in power systems, AI navigation, and suspension design. Keywords— Autonomous Vehicle, Electric Vehicle, ADAS, System Integration, Stress Analysis, Gear Ratio.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17014060
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Autonomous Electric Vehicle with Integrated ADAS

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Autonomous Electric Vehicle with Integrated ADAS

article en

Abstract

This research presents the design, development, and testing of an autonomous electric vehicle (EV) integrated with an Advanced Driver Assistance System (ADAS). The project aims to address major challenges in modern transportation, including road safety, urban congestion, and environmental sustainability. The vehicle was designed with a lightweight steel chassis, a rack-and-pinion steering system, and vacuum-assisted hydraulic disc brakes. A gear ratio of 1:4.2 was implemented to optimize torque and speed balance. The electrical system consists of dual 1200 W motors powered by a lithium-ion battery pack, while the ADAS incorporates LiDAR, ultrasonic sensors, and an Xbox Kinect camera, all controlled through a Raspberry Pi 4. Stress analysis confirmed that the chassis could safely withstand a maximum load of 350 kg with a safety factor of 2.02. Experimental results demonstrated a maximum speed of 90 km/h under normal conditions and 40 km/h under full load, with obstacle detection accuracy within 5%. The results validate the proposed design as a cost-effective and efficient platform for autonomous mobility research. The study highlights the potential of low-cost EV prototypes in academic and industrial applications while identifying opportunities for future improvements in power systems, AI navigation, and suspension design. Keywords— Autonomous Vehicle, Electric Vehicle, ADAS, System Integration, Stress Analysis, Gear Ratio.

Zenodo (CERN European Organization for Nuclear Research)
Higher Institute of Engineering (EG)
Sustainable cities and communities
Openalex Percentile: Top 58%
Geochemistry and Geologic Mapping
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