Wearable Technology for Health Monitoring: Design and Applications

Kioko Lucy K.

Faculty of Engineering Kampala International University Uganda

ABSTRACT

Autonomous vehicles (AVs) represent a significant technological advancement with the potential to revolutionize transportation and logistics. Level 5 AVs, which operate without human intervention, rely heavily on sophisticated navigation systems that integrate various sensors, such as LiDAR, cameras, and GPS, powered by artificial intelligence. This paper explores the fundamentals of autonomous vehicle navigation, current trends in the technology, challenges and limitations in its implementation, and emerging future directions. The discussion highlights the critical role of mapping, localization, perception, and trajectory planning in AV navigation systems, addressing both technical advancements and the obstacles that need to be overcome for widespread adoption. Additionally, the potential of machine learning and artificial intelligence to further enhance AV navigation capabilities is examined, providing insights into future research and development areas.

Keywords: Autonomous Vehicles (AVs), Navigation Systems, Localization, Mapping, Perception.

CITATION: Kioko Lucy K. Wearable Technology for Health Monitoring: Design and Applications. Research Output Journal of Biological and Applied Science, 2024 3(2):32-35