Reliability and Security Analysis of Artificial Intelligence-Based Self-Driving Technologies in Saudi Arabia: A Case Study of Openpilot

Alsubaei, Faisal S.

doi:10.1155/2022/2085225

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…Comma.ai uses specially designed sensors and hardware modules that are integrated into vehicles in order to obtain input about surroundings and take appropriate actions. The inputs are further classified using advanced AI and machine learning/deep learning models such as convolutional neural networks (CNN) and recurrent neural networks (RNN) for sensor data processing, image classification, object detection, semantic segmentation, and motion prediction [160]. In terms of sensor fusion, they use Kalman filters and extended Kalman filters (EKF) to combine and process data from various sensors such as cameras, radars, lidars, and microcontrollers.…”

Section: Discussion and Open Issuesmentioning

confidence: 99%

Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability

et al. 2023

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With the global energy crisis, increasing demand, and a national-level emphasis on electric vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs are equipped with sensors that maintain a sustainable environment for the betterment of society and enhance human sustainability. However, at the same time, as is the case for any new digital technology, they are susceptible to threats to security and privacy. Recent incidents demonstrate that these sensors have been misused for car and energy theft, financial fraud, data compromise, and have caused severe health and safety problems, amongst other things. To the best of our knowledge, this paper provides a first systematic analysis of EV sustainability, digital technologies that enhance sustainability, their potential cybersecurity threats, and corresponding defense. Firstly, three robust taxonomies have been presented to identify the dangers that can affect long-term sustainability domains, including (1) life and well-being, (2) safe environment, and (3) innovation and development. Second, this research measures the impact of cybersecurity threats on EVs and correspondingly to their sustainability goals. Third, it details the extent to which specific security controls can mitigate these threats, thereby allowing for a smooth transition toward secure and sustainable future smart cities.

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Section: Discussion and Open Issuesmentioning

confidence: 99%

Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability

et al. 2023

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“…Many studies (Klabi, 2020;Alotaibi et al, 2022;Alharbi & Boling, 2022) have reported Saudi nationals to be associated with Toyota and major luxury car brands. Similarly, various studies (Klabi, 2020;Alsubaei, 2022;Alsghan et al, 2022) have reported non-Saudis to differ in dress, culture, language, and many aspects from Saudis and are generally overall seen to be associated with Korean, Chinese, and other car brands.…”

Section: Brand Associations Of Reference Groups and Self-brand Connec...mentioning

confidence: 98%

How is Brand Loyalty Influenced by Brand Association of Reference Groups and Advertisement Informativeness Through Self-Brand Connection?

Ahmed Balroo,

Abdelhamid Saleh

2023

IJEBMR

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Consumers’ loyalty to a brand has become a big challenge for organizations worldwide. The challenge lies in understanding how consumers form self-connection with brands. Brand association of reference groups and advertisement informativeness are among the various ways through which self-brand connection is formed. This empirical study investigates first the relationship between brand association of reference groups and advertisement informativeness with self-brand connection, and second the mediational role of self-brand connection in relationships of brand association of reference groups and advertisement informativeness with brand loyalty. The study’s population comprised all car brand owners residing in the Kingdom of Saudi Arabia. The sampling method employed is snowball sampling through which 339 responses were collected from car owners residing in two regions of Saudi Arabia. structural equation modeling was employed to test the study hypotheses. Results of the study showed both brand association of reference groups and advertisement informativeness holding statistically significant positive relationships with the self-brand connection. The self-brand connection was also reported as significantly and positively related to brand loyalty. Full mediation of self-brand connection was reported in the relationship of brand association of reference groups and advertisement informativeness with brand loyalty.

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“…HSA is used to deal with the AV transition in terms of technology, referring to hardware and software-sensors, actuators, processors, control software, and AI algorithms-used to make vehicles autonomous. AI algorithms for real time processing, self-driving, are still being improved, as it is an evolving process [7]. Big data processing for driving must be performed in real time, i.e., fast enough in the defined time frame, known as the response time.…”

Section: Introductionmentioning

confidence: 99%

Public Perception of the Introduction of Autonomous Vehicles

Aldakkhelallah,

Alamri,

Georgiou

et al. 2023

WEVJ

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Autonomous vehicles (AVs) will transform transport, but public opinion will play a key role in decisions on how widely and quickly they are adopted. The purpose of the study presented here was to investigate community’s views on that transition. As a method for primary data collection on public awareness, attitudes, and readiness to use autonomous cars, survey was conducted in Saudi Arabia. Following that, we used statistical tools to analyse responses. Our findings indicate that the participants are largely receptive to using new technologies and had favourable attitudes towards the transition. Ordinal logistic regression model showed a wide variation in public opinion regarding the expected benefits that may accompany the transition. Our findings reveal that awareness of AVs’ benefits is positively correlated with the age of participants. Perceived costs on one side, and convenience and safety on the other, were found to have had a substantial impact on the opinions of the participants. Investigation presented here shows a sample of the public’s perception of AVs in Saudi Arabia. This can guide the development of AVs and their deployment in that region as well as worldwide.

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Reliability and Security Analysis of Artificial Intelligence-Based Self-Driving Technologies in Saudi Arabia: A Case Study of Openpilot

Cited by 7 publications

References 24 publications

Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability

Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability

How is Brand Loyalty Influenced by Brand Association of Reference Groups and Advertisement Informativeness Through Self-Brand Connection?

Public Perception of the Introduction of Autonomous Vehicles

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