STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Navigating Safety in Tesla’s Autopilot: Analyzing Risks, Performance, and Future Directions
DOI: https://doi.org/10.62517/jiem.202403405
Author(s)
Mingjun Tang
Affiliation(s)
High Bluff Academy, San Diego, 92130 USA
Abstract
This research review examines the safety performance and implementation of Tesla's Autopilot technology, analyzing its technical framework, evolutionary development, and real-world effectiveness. Through comprehensive analysis of accident data, safety reports, and regulatory assessments, this study evaluates Autopilot's capabilities in collision prevention, driver error mitigation, and navigation of complex traffic scenarios. The research concludes by identifying critical areas for future development to enhance the safe integration of autonomous driving technologies, considering their implications for public confidence and regulatory compliance.
Keywords
Tesla; Autopilot; Safety Driving; Car Accident
References
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