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

  • Hard shoulder running aids uniform traffic flow and safer driving
    January 23, 2012
    David Crawford detects a market for European experience. Well-established now in at least three European countries, Hard Shoulder Running (HSR) on motorways is exciting growing interest in the US. A November 2010 Report to Congress by the Federal Highway Administration (FHWA), on the Efficient Use of Highway Capacity, notes the role of HSR in the European-style Active Traffic Management (ATM) strategies now being recommended for implementation in the US where, until recently, they were virtually unknown.
  • Cost Benefit: Don’t waste your energy
    October 28, 2021
    There are ways that we can harvest power from the world’s roads – without necessarily building new infrastructure. David Crawford investigates some of these new approaches
  • ServCity AV project reaches final test
    February 20, 2023
    Three-year initiative in London has aimed to demonstrate practicalities of urban robotaxis
  • Big data and GPS combine to cut emergency response times
    April 2, 2014
    David Crawford looks at technologies for better emergency medical service delivery. Emergency medical services (EMS) play key roles in transporting, or bringing treatment to, patients who become ill through medical emergencies or are injured in road traffic accidents (RTAs). But awareness has been rising steadily, in the US and elsewhere, of the extent to which EMS can generate their own emergencies. The most common cause is vehicles causing or becoming involved in RTAs, as a result of driving fast under pr