Barriers that keep self-driving cars from becoming popular

Incompatible infrastructure

Self-driving cars will rely on sensors and radar to detect obstacles ahead. In addition, road markings will help self-driving cars recognize lanes so they can stay in the correct lane.

Ensuring the compatibility of road infrastructure is crucial for the adoption of autonomous vehicles.

Many countries do not yet have the infrastructure in place for self-driving cars to operate.

Communications devices installed on road infrastructure, or virtual GPS maps, allow autonomous vehicles to share information about railway crossings and when trains are passing through them, traffic lights and barriers, but this is not yet common in road infrastructure systems in many countries.

In addition, worn road markings can cause radar to miss or receive incorrect signals. As a result, autonomous vehicles will not be able to operate in many countries due to the quality of the transport infrastructure that is not yet suitable.

Responsibility issues

In most countries, when an accident occurs, the responsibility falls on the person in the car, specifically the driver. In some cases where a fine is imposed, the owner of the car will be responsible for paying the fine.

However, in the case of self-driving cars, it is unclear who will be responsible for causing the accident and liable for damages.

Most vehicles now offer semi-autonomous driving modes, which means the owner remains responsible for the vehicle's operations while in this mode.

Liability in the event of a self-driving car accident remains a controversial issue.

In fact, many argue that it is unreasonable to expect humans to constantly monitor a vehicle that they do not drive, so it is important to develop clear regulations to effectively manage liability for autonomous vehicles.

Judgment in unusual situations

One of the biggest debates surrounding the deployment of autonomous vehicles is their ability to make decisions in unusual situations.

In a hypothetical situation, when a traffic light shows a stop signal but the traffic controller signals for go, the self-driving car will have difficulty deciding whether to continue or stop.

In this case, if the driver is human, the decision will be made quickly, without affecting traffic conditions.

Driver intuition is something that self-driving cars cannot yet achieve.

AI tools in self-driving cars rely on overlapping sensors that can see farther than the human eye, focusing and recognizing correlations.

But sensors generally do not recognize causal relationships between different variables and cannot use reason or reasoning to solve problems.

Source: https://xe.baogiaothong.vn/nhung-rao-can-khien-xe-tu-lai-chua-pho-bien-192240318121016605.htm