Artificial Intelligence in Your Non-Autonomous Car

Too bad. Your next car presumably won’t be autonomous. However, it will, in any case, have artificial intelligence (AI).

While most of the consideration has been on advanced driver assistance systems (ADAS) and self-driving, AI will enter far deeper into the automobiles. These snubbed zones offer fruitful ground for occupants and new businesses alike. Where is the fertile ground for these features? Also, where is the opportunity for new companies?

Inside the cabin

Inward-facing AI cameras can be used to avoid mishaps before they happen. These are at present widely deployed in commercial vehicles and trucks to screen drivers to identify intemperance, diversion, sleepiness, and weariness to alert the driver. ADAS, inward-facing cameras, and instructing have shown to considerably reduce insurance costs for commercial vehicle fleets.

A similar technology is starting to penetrate individual vehicles to screen driver-related behavior for safety purposes. AI-powered cameras can also recognize when kids and pets are left in the vehicle to avert heat-related deaths (on an average, 37 children die from heat-related vehicle deaths in the U.S. every year).

AI can additionally help reduce crash seriousness in case of an accident. Computer vision and sensor fusion will recognize whether safety belts are fastened and estimate body size to calibrate airbag deployment. Real-time passenger tracking and calibration of airbags and other safety features will turn into a critical design consideration for the cabin of the future.

Under the hood

AI likewise can be used to help analyze and even foresee maintenance events. Machine learning might have the capacity to understand widely disparate signals from all the different sensors for prescient maintenance and to avoid mechanical issues.

AI additionally can be used to identify programming aberration and cybersecurity attacks. Regardless of whether the anomaly is malevolent or simply buggy code, it might have a similar impact. Vehicles should distinguish issues quickly before they can proliferate on the system.

Cars as mobile probes

Notwithstanding providing ADAS and self-driving features, AI can be deployed on vision frameworks (e.g. cameras, RADAR, LIDAR) to transform the vehicle into a mobile probe. AI can be used to create HD maps that can be used for distinguishing street areas, facades of addresses to supplement in-dash navigation systems, vehicle localization, monitoring traffic, and pedestrian movements and monitoring crime, and an assortment of new rising use cases.

Your next car will probably have a few installed AI features, regardless of whether it doesn’t drive itself.

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