Volvo and Uber team up to develop self-driving cars
The partnership will see the Swedish-based carmaker and Uber pool resources to develope autonomous cars
The Volvo logo is seen during the media preview of the 2016 New York International Auto Show in Manhattan, New York. PHOTO: REUTERS
Volvo Car Group has agreed a $300 million alliance with Uber to develop self-driving cars, the latest move by traditional vehicle manufacturers to team up with Silicon Valley firms long seen as disruptive threats to their industry.
Uber set to launch in Karachi soon
The partnership will see the Swedish-based carmaker, owned by China's Geely, and ride-hailing service Uber pool resources into initially developing the autonomous driving capabilities of its flagship XC90 SUV. The investment will be roughly shared equally by the two companies.
Uber will purchase Volvos and then install its own driverless control system for the specific needs of its ride-hailing service.
Volvo will use the same vehicle for its own autonomous driving project, which is based on a plan that still envisages having a driver in the car.
Uber's upstart rival uses rickshaws, low-tech phones in Lahore
The investment will go towards researching and developing both hardware, such as sensors used to detect traffic and obstacles, as well as software for the self driving cars.
Uber set to launch in Karachi soon
The partnership will see the Swedish-based carmaker, owned by China's Geely, and ride-hailing service Uber pool resources into initially developing the autonomous driving capabilities of its flagship XC90 SUV. The investment will be roughly shared equally by the two companies.
Uber will purchase Volvos and then install its own driverless control system for the specific needs of its ride-hailing service.
Volvo will use the same vehicle for its own autonomous driving project, which is based on a plan that still envisages having a driver in the car.
Uber's upstart rival uses rickshaws, low-tech phones in Lahore
The investment will go towards researching and developing both hardware, such as sensors used to detect traffic and obstacles, as well as software for the self driving cars.