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Autonomous Baja Buggy: A Comprehensive Approach to Design and Development

Afaque Altaf Hawa, Kamalkishore Vora, Uzair Mohammed Irfan Mulla, Shraddhesh Zagade, Dnyandev Padalkar, Sangeeta Mundhra, Mohan Khond

Abstract


This research project introduces a novel modular system aimed at transforming off-road Baja vehicle into autonomous entities while still maintaining the option for manual operation. The primary objective of this study involves the design and development of a Level 3 autonomous vehicle prototype, utilizing a Society of Automotive Engineers eBaja vehicle equipped with advanced actuators and exteroceptive sensors. The outcome of this project yielded a drive-by-wire system, enabling the Baja vehicle to autonomously localize itself through sensor input, generate accurate surrounding maps, and efficiently plan trajectories. In simulated environments, the vehicle successfully navigated a series of obstacles based on given maps. The goal is to enhance the software system's modularity and real-time capability, empowering the vehicle to autonomously traverse challenging off-road terrains for the purpose of aiding distressed individuals in rescue scenarios. Furthermore, this article addresses the criticality of sensor integrity, emphasizing the potential risks associated with tampering or manipulation of sensor data. As the lives of individuals are at stake, any compromises to the accuracy and reliability of sensorgenerated data can lead to catastrophic consequences. Consequently, a comprehensive exploration of attacks targeting various sensor types employed by autonomous vehicles is discussed. At Level 3, autonomous vehicles assume full control over driving tasks, although human drivers must remain vigilant and ready to intervene if the advanced driver assistance systems require assistance or encounter functional limitations. Pending approval, drivers will have the ability to temporarily disengage from steering responsibilities, allowing them to engage in activities such as video streaming, email correspondence, and communication with colleagues.

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References


Martínez-Díaz M, Soriguera F. Autonomous vehicles: theoretical and practical challenges. J Intell

Transp Syst. 2018; 22 (4): 283–301.

Parekh D, Poddar N, Rajpurkar A, Chahal M, Kumar N, Joshi GP et al. A review on autonomous

vehicles: progress, methods, and challenges. IEEE Access. 2022; 10: 144169–144189.

Jemmali MA, Mouftah HT. Improved control design for autonomous vehicles. Int J Info Technol

Control Autom Syst. 2022; 12 (1): 1–13.

Chen Y, Yu H, Zhang J, Cao D. Lane-exchanging driving strategy for autonomous vehicle via

trajectory prediction and model predictive control. Chin J Mech Eng. 2022; 35: 71. doi:

1186/s10033-022-00748-7.

Pushpakanth A, Dhavalikar MN. Development of steering control system for autonomous vehicle.

Int J Eng Adv Technol. 2022;11 (6): 1586–1592.

Ayala R, Khan Mohd T. Sensors in autonomous vehicles: A survey. IEEE Access. 2021; 9: 160369–

Azam S, Munir F, Sheri AM, Kim J, Jeon M. System, design and experimental validation of

autonomous vehicle in an unconstrained environment. IEEE Access. 2020; 8: 196857–196868.

Salman UH. KHalel MI, Abdullah AA. Development of autonomous vehicles. Int J Adv Comput

Sci Appl. 2018; 9 (9): 174–179.

Bratulescu RA, Vatasoiu RI, Sucic G, Mitroi SA, Vochin MC, Sachian MA. Object detection in

autonomous vehicles. Sensors. 2022; 22 (21): 375–380. doi: 10.1109/WPMC55625.

10014804.

Ghariblu H. Decision making of an autonomous vehicle in a freeway travelling. Int J Automot Eng.

; 13 (2): 280–286.

Orlický A, Mashko A, Mík J. Assessment of external interface of autonomous vehicles. Transport

means. 2021; 2021: 223–228.

Bautista-Camino P, Barranco-Gutiérrez AI, Cervantes I, Rodríguez-Licea M, Prado-Olivarez J,

Pérez-Pinal FJ. Local path planning for autonomous vehicles based on the natural behavior of the

biological action-perception motion. Sensors. 2022; 22 (5): 2512.

Yeong J, Velasco-Hernandez G, Barry J, Walsh J. Sensor and sensor fusion technology in

autonomous vehicles: a review. Sensors (Basel). 2021; 21 (6): 2078. doi: 10.3390/s21062140,

PMID 33803889.




DOI: https://doi.org/10.37628/jtets.v9i1.842

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