Authors: Ruba Islayem, Fatima Alhosani, Raghad Hashem, Afra Alzaabi, Mahmoud Meribout
Published on: April 26, 2024
Impact Score: 7.8
Arxiv code: Arxiv:2405.00062
Summary
- What is new: This research provides a comprehensive review of current machine vision systems in autonomous vehicles (AVs), highlighting the latest technological advances and pinpointing the shortcomings that have led to reliability issues.
- Why this is important: Autonomous vehicles face reliability issues due to the limitations of current machine vision systems, underscored by recent accidents and the suspension of operational licenses.
- What the research proposes: The paper suggests improvements in both hardware accelerators and algorithmic approaches to enhance the real-time performance and reliability of AV perception systems.
- Results: Through critical analysis, the research identifies potential pathways for technological advancements in machine vision systems that could mitigate current reliability issues in AVs.
Technical Details
Technological frameworks used: nan
Models used: nan
Data used: nan
Potential Impact
Automotive manufacturers and tech companies in the AV space could be impacted by these insights, potentially influencing future development priorities and market strategies.
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