Autonomous vehicles use remote-sensing technologies such as radar, GPS, cameras, and lidar to effectively
observe their immediate environment and construct a comprehensive three-dimensional representation. The conventional
constituents of this particular environment include structures, additional vehicles, people, as well as signage and traffic
indicators. At now, a self-driving car is equipped with a wide array of sensors that are not found in a traditional
automobile. Commonly used sensors include lasers and visual sensors, which serve the purpose of acquiring
comprehensive understanding of the immediate environment. The cost of these sensors is high and they exhibit
selectivity in their use requirements. The installation of these sensors in a mobile vehicle also significantly diminishes
their operational longevity. Furthermore, the issue of trustworthiness is a matter of significant concern. The present
article is structured into distinct parts, each of which delves into a significant aspect and obstacle pertaining to the trend
and development of autonomous vehicles. The parts describing the obstacles in the development of autonomous vehicles
define the conflict arising from the use of cameras and LiDAR technology, the influence of social norms, the impact of
human psychology, and the legal complexities involved.
Keywords
Camera Technology, Autonomous Vehicles, Advanced Driver Assistance Systems, Light Detection and
Ranging, Connected and Autonomous Vehicles.
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Dong Jo Kim
Dong Jo Kim
Department Image design, Sunchon National University, Sunchon, Korea.
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Cite this article
Dong Jo Kim, “A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology”, Journal of Machine and Computing, vol.3, no.4, pp. 556-565, October 2023. doi: 10.53759/7669/jmc202303047.
