Drive.ai announced its self-driving strategy to retrofit fleet vehicles. Drive.ai is using AI expertise to build the software to power autonomous vehicles of the future. The system is expected to interact with pedestrians around it.
Steve Girsky from GM is now on its board of directors.
Drive.ai will offer a retrofitted self-driving kit for existing business fleets. The kit will include sensors, a roof-mounted exterior communication system, and an in-car interface, powered by deep learning software algorithms. The technology will be tested with route-based vehicle fleets, in industries such as freight delivery, ridesharing, and public/private transit.
Drive.ai is working with OEMs and automotive suppliers, and plans to expand into other channels and partnerships in the future.
Drive.ai’s strategy uses a full stack deep learning approach for self-driving. Their integrated software and hardware system will enable vehicles to navigate urban, suburban, and freeway roads while communicating clearly with users, other drivers, and people outside the vehicle.
Drive.ai aims to create a robust new language of human-robot interactions — essential for making people trust and welcome self-driving vehicles.
Carol Reiley, co-founder and president of Drive.ai. “Self-driving is a once in a generation opportunity to reimagine the relationship between people, cars, and the world around them…Vehicles of the future will communicate transparently with us, they’ll have personality, and they’ll make us feel welcome and safe, even without a human driver.”
Drive.ai is a self-driving technology company. Founded in 2015 with a team out of Stanford University’s Artificial Intelligence Lab, Drive.ai uses deep learning algorithms for the full stack — including computer vision, path planning, user interface, and communication outside the vehicle. Drive.ai is licensed to test autonomous vehicles in the state of California.