Published: January 07, 2015 | International Consumer Electronics Show 2015
Ford at the 2015 Consumer Electronics Show is highlighting how it is using innovation not only to create advanced new vehicles but also to help change the way the world moves by solving today’s growing global transportation challenges.
“Our priority is not in making marketing claims or being in a race for the first autonomous car on the road”
—Mark Fields, CEO | Ford
The company announced its Ford Smart Mobility plan to use innovation to take it to the next level in connectivity, mobility, autonomous vehicles, the customer experience and big data. Ford also announced 25 mobility experiments around the world this year to test breakthrough transportation ideas to create better customer experiences, more flexible user-ship models and social collaboration that can reward customers.
This is further to the announcement of Ford’s Innovate Mobility Challenge which the company announced a few months back.
Also at CES, Ford is demonstrating SYNC® 3, its most advanced vehicle connectivity system, while highlighting semi-autonomous vehicles the company has on the road today and fully autonomous vehicles now in development. SYNC 3’s more conversational speech recognition technology, a more smartphone-like touch screen and easy-to-read graphics will help millions of drivers connect with their lives and control their smartphone while on the road. Please read more about SYNC 3 here.
25 global mobility experiments
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. Each experiment is designed to anticipate what customers will want and need in tomorrow’s transportation ecosystem.
“We see a world where vehicles talk to one another, drivers and vehicles communicate with the city infrastructure to relieve congestion, and people routinely share vehicles or multiple forms of transportation for their daily commute,” Fields said. “The experiments we’re undertaking today will lead to an all-new model of transportation and mobility within the next 10 years and beyond.”
The 25 experiments address four global megatrends – explosive population growth, an expanding middle class, air quality and public health concerns, and changing customer attitudes and priorities – challenging today’s transportation model and limiting personal mobility, especially in urban areas.
Fourteen of the 25 experiments are Ford-led research projects, and 11 are part of the company’s Innovate Mobility Challenge Series. The experiments include ( click on each link to know more):
- Big Data Drive: Dearborn, Michigan
- Fleet Insights: United States
- Data Driven Insurance: London
- Remote Repositioning: Atlanta
- City Driving On-Demand: London
- Dynamic Social Shuttle: New York, London
- Car Swap: Dearborn, Michigan
- ·Ford Carsharing: Germany
- Share-Car: Bangalore, India
- Rapid Recharge & Share: Dearborn, Michigan
- Data Driven Healthcare: The Gambia, West Africa
- Parking Spotter: Atlanta
- Info Cycle: Palo Alto, California
- Painless Parking: London
Ford autonomous vehicles
Ford also highlighted the semi-autonomous vehicles it has on the road today and fully autonomous vehicles now in development for the future.
“We’re already manufacturing and selling semi-autonomous vehicles that use software and sensors to steer into both parallel and perpendicular parking spaces, adjust speed based on traffic flow or apply the brakes in an emergency.There will be a Ford autonomous vehicle in the future, and we take putting one on the road very seriously.”
Raj Nair, CTO | Ford
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.