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

  • C/AVs could mean cheaper roads
    October 28, 2019
    The safety benefits of C/AVs have long been promoted – but research suggests they should also contribute to cheaper roads. David Crawford investigates the potential benefits in infrastructure costs Building narrower freeway lanes to accommodate the enhanced route-tracking capabilities of connected and autonomous vehicles (C/AVs), running in platoon conditions, could result in cost savings of £0.5 million (€0.56 million or US$6.5 million) for every km of road length built. Such benefits could be secur
  • ITS need not reinvent machine vision
    October 29, 2014
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val
  • Public transport operators implement passenger safety systems
    December 4, 2012
    Operators of public transport systems are arming themselves with sophisticated systems of technology to ward off terrorism threats to passenger safety. David Crawford reports. City transportation authorities worldwide are looking more keenly than ever for mass transit solutions to overcome traffic congestion and manage commuter flows. As they do so, concerns over passenger security are driving development of new technologies for terrorist incident detection, response and emergency passenger evacuation. The
  • CCTV brings transit safety into view
    September 15, 2014
    David Crawford looks at camera-based vulnerable road users protection systems.Safe and efficient operation of road-based transit depends on minimising the risks of incidents involving other vehicles or vulnerable road users such as pedestrians, cyclists and passengers boarding or alighting from buses or trams. The extent and quality of the visibility available to drivers is crucial in preventing and avoiding incidents. Conventionally, they have had to rely on fairly basic equipment - essentially the human