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

  • Evolving commuters' demands to pave the way for car-sharing business models
    October 5, 2016
    Physical integration of public transit systems with car-sharing will enhance convenience and drive growth opportunities, finds Frost & Sullivan's Mobility Team. Its latest study, Future of Car-sharing Market to 2025, says that with vehicle automation rapidly gaining currency, cars-haring operators (CSOs) are developing novel business models to address the evolving mobility demands of commuters. They will initially offer self-parking services, allowing members to drop off vehicles at designated parking lo
  • ZF to develop Level 4 autonomous system
    October 18, 2021
    ZF takes a 5% share in Oxbotica as part of the collaboration
  • The future looks bright for ITS
    June 4, 2015
    Professor Eric Sampson talks about the past successes of ITS, its potential for the future and the challenges the industry faces. If anybody should know when Intelligent Transport Systems started that person is Professor Eric Sampson, a visiting professor at both Newcastle and London City Universities. Having spent 40 years working for the UK’s Department of Transport and other public administrations, Professor Sampson now supports the European Commission on ITS systems and advises ERTICO ITS-Europe and ITS
  • Cannabis and cars don’t mix
    October 28, 2022
    Increased – legal – cannabis use has created increased – illegal – use by drivers. Adam Hill looks at a new report which advises State Highway Safety Offices on tackling the issue