CES 2015: Ford Announces 25 Global Experiments, India Also On The List
In the ongoing CES 2015, one of the top automobile maker, Ford has highlighted how it is using their innovation not only to create advanced vehicles but also to help change the way the world moves by solving today’s growing global transportation challenges. Ford has announced 25 mobility experiments around the globe this year to test breakthrough transportation ideas to create better customer experiences, more flexible user-ship models and social collaboration that can reward customers.
The 25 mobility experiments from Ford include a unique, pilot project in India – Share-Car – that aims to create a model for easy vehicle sharing among small communities.
Ford President and CEO Mark Fields said :-
“Even as we showcase connected cars and share our plans for autonomous vehicles, we are here at CES with a higher purpose, We are driving innovation in every part of our business to be both a product and mobility company – and, ultimately, to change the way the world moves just as our founder Henry Ford did 111 years ago.”
The first steps for Ford Smart Mobility are 25 experiments – eight in North America, nine in Europe and Africa, seven in Asia and one in South America.
Ford said these experiment addresses four mega trends of today’s world, explosive population growth, an expanding middle class, air quality and public health concerns, and changing customer attitudes and priorities.
Ford has also highlighted the semi-autonomous vehicles it has on the road today and fully autonomous vehicles now in development for the future.
Ford’s semi-autonomous vehicle features available today include lane-keeping assist, adaptive cruise control, Pre-Collision Assist with Pedestrian Detection and active park assist – with Traffic Jam Assist coming.
A fully autonomous Ford Fusion Hybrid research vehicle is undergoing road testing. The vehicle uses the same semi-autonomous technology in Ford vehicles today, while adding four LiDAR sensors to generate a real-time 3D map of the surrounding environment. The vehicle can sense objects around it using the LiDAR sensors, and uses advanced algorithms to help it learn to predict where vehicles and pedestrians might move.