Work

Navigating Safety in Tesla’s Autopilot: Analyzing Risks, Performance, and Future Directions

Year: 2024

Type: article

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.

Source: Journal of industry and engineering management.

DOI: 10.62517/jiem.202403405

Author: Mingjun Tang

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4409909323

FWCI:

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