AI's Role in Enhanced Automotive Safety

Vikas Vyas, Xiaowei Bi, Digvijay Pandey , Zheyuan Xu

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Hardback

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English

IGI Global
01 May 2025

Mechanical engineering; Automotive technology & trades; Artificial intelligence

Artificial intelligence (AI) plays a transformative role in enhancing automotive safety, revolutionizing how vehicles prevent accidents and protect passengers. By integrating advanced sensors, real-time data analysis, and machine learning algorithms, AI enables cars to detect hazards, predict potential collisions, and respond fast. From driver-assistance features like automatic emergency braking and lane assistance, to the development of fully autonomous vehicles, AI reshapes the landscape of road safety. As technology evolves, AI's role in minimizing human error and improving safe, smart transportation begs further exploration. AI's Role in Enhanced Automotive Safety explores AI-driven advancements in automotive safety, highlights possible obstacles to widespread adoption, and offers policy suggestions. It examines the possible impacts of AI-driven technology on vehicle safety. This book covers topics such as deep learning, neural networks, and sensor technology, and is a useful resource computer, civil, and mechanical engineers, automotive business owners, urban developers, academicians, researchers, and data scientists.

Edited by: Vikas Vyas, Xiaowei Bi, Digvijay Pandey, Zheyuan Xu, Binay Kumar Pandey
Imprint: IGI Global
Dimensions: Height: 279mm, Width: 216mm, Spine: 33mm
Weight: 1.692kg
ISBN: 9798337304427
Pages: 540
Publication Date: 01 May 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Vikas Vyas has carved a distinctive niche in the realm of product management. His illustrious career bears testament to his profound expertise in product development, strategic mindset, and impeccable project management skills. At the core of his journey lies a rock-solid technical foundation, underscored by a consistent record of contributions to intricate business applications and processes, rigorously adhering to ISO 26262 and DO-178B standards. Vikas is not merely an agile methodologies enthusiast; he is a maestro in cultivating robust client relationships and fostering collaborative, supportive team dynamics. His insatiable thirst for learning and innate aptitude for creative problem-solving set him apart as an industry luminary. Vikas's professional odyssey is embellished with significant milestones, including the exceptional feat of achieving 100% steering function reuse, the introduction of streamlined decision-making frameworks, and the optimization of project management through cutting-edge tools like Jira. A testament to his innovative prowess lies in his two USA patents, filed and linked to machine learning technology in the domain of autonomous driving. His contributions to advanced future technology in steering systems have earned him the well-deserved recognition of his peers. Bolstering his professional journey are certifications in Professional Scrum Product Owner (PSPO), Requirement Engineering, and ISO 26262, underscoring his unwavering commitment to personal and professional growth. In his current role as the Staff Software Technical Lead at Mercedes-Benz Research & Development NA, Vikas continues to excel by spearheading engineering product teams and shaping visionary product strategies. His current focus is on the cutting-edge realm of software remote upgradability in the Autonomous Driving domain, where he relentlessly pushes the boundaries of innovation. Vikas's rich experience, gained at prestigious organizations such as Robert Bosch, Rockwell Collins Inc, and HCL Technologies, showcases his versatility and expertise in the field. Perhaps most impressively, Vikas is the proud holder of two published patents, which are catalyzing revolutionary advancements in the landscape of autonomous driving technology, both intricately entwined with the profound potential of machine learning. Vikas Vyas, underpinned by a robust academic foundation, including a bachelor's degree in electrical engineering and additional coursework in Product Management at the University of California, Berkeley, Haas School of Business, continues to stand as a beacon of innovation and an eternal source of inspiration in the ever-evolving world of autonomous driving technology.