Human safety is one of the most critical factors when a new technology is introduced to the everyday use. It was no different in the case of Autonomous Vehicles (AV), designed to replace generally available Conventional Vehicles (CV) in the future. AV rules, from the start, focus on guaranteeing safety for passengers and other road users, and these assumptions usually work during normal traffic conditions. However, there is still a problem with proper reaction time to sudden, dangerous and unexpected scenarios like a running animal on a rural road during the night. In this paper, we compare human and AV responses to sudden scenarios and accidents. As the AV topic can be analyzed as an ICT system, we review modern sensors, computer architectures and algorithms designed for this type of problems. Beside regular analysis, we also show which algorithms can run simultaneously and if vehicles have proper tools to guarantee safety during regular system delays. As a final result, we present a diagram which depicts Autonomous Vehicle logic and allows to identify bottlenecks. Additionally, the analysis shows how different refresh rates and algorithm execution times can affect the braking distance thus safety of other road users.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/iv48863.2021.9575602
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2021
