5 Challenges in the adoption of Autonomous vehicles
5 Challenges in the adoption of Autonomous vehicles

Blog

5 Challenges in the adoption of Autonomous vehicles

Automotive OEMs and suppliers concentrate their efforts on developing a comprehensive ADAS platform that combines features and capabilities from multiple platforms.

The increase in architectural complexity and computational requirements will necessitate solutions that strike an appropriate balance between performance and cost-effectiveness—the need for high-performance, precise sensors and an accurate model of the vehicle’s surroundings. In addition, autonomous driving will be made possible through cameras, radar sensors, and infrared sensors.

The majority of OEMs have adopted the L3 level of autonomy in developed countries, with a human in the driver’s seat to take control when necessary. However, this L3 level of autonomy is not entirely safe. It is difficult to hold someone accountable for an accident because the driver may not have enough reaction time when the car requests control be taken over. Here are five major obstacles that could impede the adoption of self-driving cars.

Attention

Attention

This website is best viewed in portrait mode.

We Use Cookies

When you visit a website, it may store or retrieve information in the form of cookies on your browser. This information may pertain to you, your preferences, or your device and is mainly used to ensure that the site functions as expected.

For additional information Cookie Policy

We Use Cookies