Skip to main content

Daimler and Baidu to develop automated driving and connectivity in China

German car manufacturer Daimler has extended its partnership with technology company Baidu in China to develop automated driving and connectivity projects. The companies partnered in 2017 to develop the Baidu Apollo, an open platform intended to support the major features and functions of automated vehicles. 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. In July, Dai
July 31, 2018 Read time: 2 mins

German car manufacturer 2069 Daimler has extended its partnership with technology company Baidu in China to develop automated driving and connectivity projects.

The companies partnered in 2017 to develop the Baidu Apollo, an open platform intended to support the major features and functions of automated vehicles. 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.

In July, Daimler received a road test licence to test highly automated driving research vehicles in Beijing. The company used Mercedes-Benz V-Class cars equipped with technical applications from Baidu Apollo. The partnership will now extend use cases on approved roads and dedicated proving grounds.

The partnership will now integrate Baidu connectivity services into the Mercedes-Benz User Experience infotainment system.

Hubertus Troska, Daimler board member responsible for Greater China, says: “With the Apollo platform supporting our road tests in Beijing, our co-operation on automated driving allows us to create solutions that address China’s specific conditions.”

For more information on companies in this article

Related Content

  • Iteris joins leadership circle for automated vehicle initiative
    September 10, 2014
    Iteris has joined the University of Michigan as one of 13 companies that includes Denso, Delphi, Econolite, Ford, GM, Nissan, Verizon and Toyota as a founding partner in its Mobility Transformation Center (MTC). The MTC will initiate and execute multiple research programs to advance the technology and policies surrounding new methods of transportation relating to smart vehicles and infrastructure. Iteris plans to collaborate with MTC and the select group of companies to guide the selection of specific re
  • Machine vision standards definition moves forward with establishment of new forum
    December 3, 2012
    The new Future Standards Forum will homogenise standards develop in the machine vision and partnering sectors. Here, machine vision industry experts discuss developments. By Jason Barnes At the Vision Show, which took place in Stuttgart at the beginning of November, the European Machine Vision Association, the US’s Automated Imaging Association and the Japan Industrial Imaging Association (JIIA) established a joint initiative, the Future Standards Forum (FSF). This, said the EMVA’s President Toni Ventura, a
  • Mobility as a Service gaining traction in US and Europe
    December 15, 2015
    As Mobility as a Service starts to move into the mainstream of transport planning, David Crawford compares European and North American initiatives. Mobility as a Service (MaaS) is a concept fast gaining traction on both sides of the Atlantic as a way of giving travellers digital multimodal one-stop shops and journey planning tools as an alternative to private car use. Planned delivery methods include subscription-based travel packages in Europe, and 'mobility aggregator' apps, including employee commute ben
  • After two decades of research, ITS is getting into its stride
    June 4, 2015
    Colin Sowman gets the global view on how ITS has shaped the way we travel today and what will shape the way we travel tomorrow. Over the past two decades the scope and spread of intelligent transport systems has grown and diversified to encompass all modes of travel while at the same time integrating and consolidating. Two decades ago the idea of detecting cyclists or pedestrians may have been considered impossible and why would you want to do that anyway? Today cyclists can account for a significant propor