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The tunnel problem is intended to draw one's attention to a specific issue in design/engineering ethics, and was first presented as follows: Tunnel Problem: You are travelling along a single lane mountain road in an autonomous car that is fast approaching a narrow tunnel.
The usefulness factor studies whether or not autonomous vehicles are useful in that they provide benefits that save consumers' time and make their lives simpler. How well the consumers believe autonomous vehicles will be useful compared to other forms of transportation solutions is a determining factor. [30]
Increases in the use of autonomous car technologies (e.g., advanced driver-assistance systems) are causing incremental shifts in the control of driving. [1] Liability for incidents involving self-driving cars is a developing area of law and policy that will determine who is liable when a car causes physical damage to persons or property. [2]
LAS VEGAS, NEVADA - JANUARY 05: at CES 2023 An autonomous multi-purpose vehicle is displayed at the Applied EV booth at the Las Vegas Convention Center on January 05, 2023 in Las Vegas, Nevada.
A main challenge for autonomous vehicles is the shift from needing a safety driver inside the vehicle. [9] Many car manufacturers are pushing for the shift away from safety drivers to fully deliver on the impact of autonomous vehicles. [9] [11] Until manufacturers can go without safety drivers in the vehicle, there exists a challenge in the ...
But industry insiders have said it would take time for the technology to be ready, and for the public to trust autonomous vehicles fully. Industry data showed Tesla sold nearly 15,000 China-made ...
Before the development of autonomous vehicles, the trolley problem remains an ethical dilemma between utilitarianism and deontological ethics. However, as the advancement in ADAS proceeds, the trolley problem becomes an issue that needs to be addressed by the programming of self-driving cars.
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.