Today all OE’s are looking for ways to integrate advances in AI technology. A few obvious applications (refer https://igniteoutsourcing.com/publications/artificial-intelligence-in-automotive-industry) highlighted in the article are as below:
- Driver-Assist Features like automatic braking, collision avoidance systems, pedestrian and cyclists alerts, cross-traffic alerts, intelligent cruise controls and others.
- Cloud-Hosted Intelligence like GM’s OnStar system with AI-enhanced features.
- Internet of Things by connecting to the Internet.
- Understanding Emotional State detecting worry or anxiety in the passenger could tell the self-driving AI to slow down or take turns less aggressively (refer https://medium.com).
- Automatic Toll Collection at toll booths.
- Intelligent Co-Pilot to learn from the driver’s routine so that it can make personal predictions and submit recommendations taking into driving behavior (refer https://www.daimler.com/innovation/case/autonomous/artificial-intelligence.html).
- Smart Sensors inside the vehicle could detect medical emergencies and summon emergency personnel.
- Customized Convenience like facial recognition, eye tracking, gesture recognition, head position and gaze tracking, natural language processing, voice speech capabilities, augmented lip reading and external environmental awareness – refer https://www.nvidia.com/en-us/self-driving-cars/drive-ix/.
- Biometric Technology (refer https://www.fingerprints.com/solutions/automotive/) for authentication and identification.
- Enhanced Connectivity through social media, internet and others and voice activated messages. Refer https://www.tencent.com/en-us/ as an example.
- Vehicle to Vehicle Communication which will allow connected cars to communicate with one another and possibly help reduce accidents.
- AI Based Management Systems to aid in fleet management, logistics, and driver safety – refer https://www.osrenterprises.com and http://fortune.com/2016/08/30/self-driving-drive-ai as examples.
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