Skip to main content

Baidu autonomous car reaches milestone in Beijing

An autonomous car developed by Chinese language Internet search provider Baidu has successfully completed rigorous, fully autonomous tests on one route with mixed roads under a variety of environmental conditions, says the company. The Baidu autonomous car is the first in China to have demonstrated full autonomy under mixed road conditions, marking a milestone in China's autonomous driving effort. The road tests were carried out under complex road conditions, and the Baidu vehicle, a modified BMW 3 Serie
December 11, 2015 Read time: 2 mins
An autonomous car developed by Chinese language Internet search provider Baidu has successfully completed rigorous, fully autonomous tests on one route with mixed roads under a variety of environmental conditions, says the company.

The Baidu autonomous car is the first in China to have demonstrated full autonomy under mixed road conditions, marking a milestone in China's autonomous driving effort. The road tests were carried out under complex road conditions, and the Baidu vehicle, a modified BMW 3 Series, completed the tests by executing a comprehensive set of driving actions and accurately responding to the driving environment.

Baidu claims the car demonstrated full autonomy on the entirety of the 30 kilometre test route and successfully executed driving actions including making right turns, left turns and U-turns, decelerating when detecting vehicles ahead, changing lanes, passing other cars and merging into traffic from on-ramps and exiting from off-ramps. The car speed peaked at 100 km per hour during the test runs.

Baidu AutoBrain, the core of Baidu's autonomous driving technology, includes highly automated driving (HAD) maps, positioning, detection, smart decision-making and control.

Baidu's self-developed HAD maps record 3D road data to within a few centimetres of accuracy of vehicle positioning. With Baidu's leading object recognition and environment perception technology, the car can detect, recognise, and follow other vehicles with high accuracy; recognise road lanes; and accurately gauge distance and velocity.

"Fully autonomous driving under mixed road conditions is universally challenging, with complexity further heightened by Beijing's road conditions and unpredictable driver behaviour," said Wang Jing, SVP of Baidu and general manager of Baidu's newly established Autonomous Driving Business Unit.

Related Content

  • Travel information is heading towards smartphones
    January 30, 2012
    Travel information services are undergoing a step change as rapid increase in sales of smartphones brings ITS technology to consumers' fingertips. A virtuous circle of expanding capability is under way in traffic and travel information services, promising much for drivers and reduction of road congestion. A recent rapid rise in sales of smartphones has boosted numbers of vehicles carrying GPS enabled devices and so brought expansion of traffic data available for analysis and dissemination. Greater numbers o
  • Development of cooperative driving applications for work zones
    July 17, 2012
    The German AKTIV project is researching several cooperative driving applications for use in work zones. PTV's Michael Ortgiese details progress. The steep increases in traffic volumes predicted back in the early 1990s have unfortunately been proven to be more than accurate. In Germany, the AKTIV project continues to look into cooperative technologies' potential to reduce the impact of those increased traffic volumes and keep traffic moving despite limitations in infrastructure capacity.
  • UR:BAN developing driver assistance and traffic management systems
    May 16, 2014
    European vehicle manufacturers, including BMW, Opel and Mercedes-Benz and MAN, are taking part in a new project to develop advanced driver assistance and traffic management systems for cities. The focus is on the human element in all aspects of mobility and traffic and takes the form of three approaches: Cognitive Assistance; Networked Traffic Systems; and Human Factors in Traffic. The four-year UR:BAN project (from a German acronym for Urban Space: User-oriented assistance systems and network managemen
  • Integrated public transport systems ‘make travel easier and more affordable’
    April 9, 2015
    Streamlining schedules, stops, fares, and passenger information among subways, buses and commuter rail, will make it easier for passengers, cut down on operational costs and boost operational revenue, according to a new World Bank paper published today, Public Transport Service Optimisation and System Integration. The paper, which is part of the China Transport Notes Series produced by the World Bank in Beijing to share experiences about the transformation of the Chinese transport sector, claims lack of