Skip to main content

Ford and Baidu to trial self-driving vehicles in China

Ford has joined forces with technology company Baidu to test Level 4 self-driving vehicles in China over the next two years. Level 4, established by the SAE International (formerly the US Society of Automotive Engineers), will allow the vehicles to operate without intervention from a human driver. A report by CNBC says Ford’s self-driving vehicles are equipped with Baidu’s autonomous driving system Apollo. The cars are expected to be deployed in on-road tests by the end of 2018. Sherif Marakby, pr
November 5, 2018 Read time: 2 mins
278 Ford has joined forces with technology company Baidu to test Level 4 self-driving vehicles in China over the next two years.


Level 4, established by the 567 SAE International (formerly the US Society of Automotive Engineers), will allow the vehicles to operate without intervention from a human driver.

A report by %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external CNBC false https://www.cnbc.com/2018/10/31/ford-and-baidu-team-up-to-test-self-driving-vehicles-in-china.html false false%> says Ford’s self-driving vehicles are equipped with Baidu’s autonomous driving system Apollo. The cars are expected to be deployed in on-road tests by the end of 2018.

Sherif Marakby, president and CEO of Ford's autonomous vehicles unit, says the initiative will allow the company to offer solutions which improve safety, convenience and overall mobility experience.

In July, Baidu extended its %$Linker: 2 Internal <?xml version="1.0" encoding="utf-16"?><dictionary /> 4 36218 0 link-external partnership false /sections/general/news/daimler-and-baidu-to-develop-automated-driving-and-connectivity-in-china/ false false%> with German car manufacturer 2069 Daimler to develop automated driving and connectivity projects in China.

The partnership initially formed in 2017 to develop the Apollo platform. Daimler also joined the Apollo Committee, a group whose stated aim is to accelerate research on safer solutions in automated driving and promote the drafting of related regulations.

Related Content

  • January 23, 2014
    FHWA developing 2015 infrastructure guidance for connected vehicles
    The US Federal Highway Administration (FHWA) plans to issue deployment guidance on connected vehicles to transportation infrastructure owner/operators in 2015 and is seeking input on what would best support decision-making and deployments at the state and local level. The FHWA is specifically seeking input on the following: • What type of guidance is needed to best support the successful deployment of connected vehicle technologies? • What specific issues would you like to see addressed for plannin
  • February 6, 2017
    Workshop on implications of self driving cars for auto industry
    Autelligence’s new workshop Self-driving cars - Strategic implications for the auto industry and beyond, is a forum for executives on the likely consequences of self-driving cars on the auto manufacturing industry. It offers a framework to work out the strategic implications for OEMs and suppliers through a deeper understanding of the competing business models and an assessment of the current technologies and the strategies of leading companies. The workshops will be held on 23 March at the Frankfurt
  • October 5, 2015
    Update on the FIA Region I conference Driving Change
    The latest agenda for the FIA Region 1 conference, Driving Change, Connecting Mobility, which takes place in Brussels on 20 October, is now available on the conference website. Participants can hear from keynote speaker Pascal Smet, Minister for Mobility and Public Works in the Brussels Region and join in two debates with mobility experts, moderated by Jack Short, the former Secretary General of the International Transport Forum.
  • April 23, 2019
    ADN says Bled will improve public transit efficiency
    ADN Mobile Solutions has developed Bled, a technical solution which – in conjunction with bespoke training and gamification tools – is designed to help bus drivers improve their driving efficiency. The goal is to reduce public transit emissions and provide cost savings, monitoring the way that vehicles are driven, and picking up on activities such as sharp braking or acceleration, giving personalised recommendations based on driving context. Electronic and mechanical data from buses is analysed and presente