Mobileye to be standard option on Nissan Teana in China

Mobileye has announced that Nissan showrooms in China will propose Nissan's Teana model (sold as Nissan Maxima in North America) will be equipped with ‘Eagle Eye’, Mobileye’s C2-270 collision prevention system. Buick, Cadillac and Acura showrooms already offer Mobileye C2 as an optional accessory in showrooms in South China; however Nissan says it will be the first to offer a particular model with Mobileye as standard safety fit all over China.
May 16, 2012 Read time: 2 mins
RSS4279 Mobileye has announced that 838 Nissan showrooms in China will propose Nissan's Teana model (sold as Nissan Maxima in North America) will be equipped with ‘Eagle Eye’, Mobileye’s C2-270 collision prevention system. Buick, Cadillac and Acura showrooms already offer Mobileye C2 as an optional accessory in showrooms in South China; however Nissan says it will be the first to offer a particular model with Mobileye as standard safety fit all over China.

Nissan Teana's ‘Eagle Eye’ project was instituted by Mobileye distributor Shenzhen Cheyuansu in China and Mobileye views it as a strategic move in the consumer market in China. The project represents an additional valuable achievement in Mobileye's global strategy for addressing mass-market with the company's collision prevention technology.

Mobileye has recently achieved several notable milestones, in different segments; the announcement comes a few weeks after Janos Kis, fleet support manager at Coca Cola Hellenic, a world leading Coca Cola bottling and distribution company, publicly declared that Mobileye was chosen as supplier of safety technology for its fleet, at the Fleet Europe Awards Gala Evening (18 November, 2010, in Brussels, Belgium) after he received the Fleet Safety Award for 2010.

Kis, who was awarded for using Mobileye to improve driver safety, selected Mobileye's systems after a 19 week pilot with outstanding outcomes, including zero crashes, improved driver behaviour and substantial savings in fuel.
Detection, Monitoring & Machine Vision

For more information on companies in this article

Related Content

  • BMW Group and Mobileye to use crowd sourced data for automated driving
    February 24, 2017
    BMW Group and Mobileye are to collaborate on introducing Mobileye's Road Experience Management (REM) data generation technology in newly-developed BMW Group models entering the market in 2018. They aim to crowd-source real-time data using vehicles equipped with camera-based advanced driver assist system (ADAS) technology to provide next-generation high definition (HD) maps for autonomous vehicle, which will require them to identify and update changes in the environment with near real-time speed enabling
    Read More
  • Maturing photo enforcement gains legal status, public support
    August 2, 2012
    In the US, affirmation of the photo traffic enforcement sector's legal status and rising public support were significant aspects of 2009. James Tuton, President and CEO of American Traffic Solutions, looks back over the year. In 2009, the photo traffic enforcement industry in North America continued to grow and mature, accompanied by increased public, legislative and legal scrutiny. While public support remains strong, we also saw increased attempts to undermine the industry by representatives of a small bu
    Read More
  • euroFOT study demonstrates benefits of driver assistance systems
    June 26, 2012
    Today, the euroFOT consortium published the findings of a four-year study focused on the impact of driver assistance systems in the Europe. The €22 million (US$27.5 million) European Field Operational Test (euroFOT) project which began in June 2008 and involved 28 companies and organisations, was led by Aria Etemad from Ford’s European Research Centre in Aachen, Germany. The study looked at existing technologies and their potential to both enhance safety and reduce environmental impact. euroFOT also reveale
    Read More
  • Fully autonomous vehicles ‘spur LiDAR sensors mass adoption’
    January 26, 2017
    Cost-effective, high-resolution light detection and ranging (LiDAR) sensors capable of long-range object detection will be necessary for high to fully-automated driving applications. Demand for 3D mapping and imaging, better overall performance, automated processing of graphic data gathering and self-sufficient sensor with best-in-class performance in low-visibility conditions are factors driving the development and adoption of LiDAR sensors within the advanced driver assistance systems (ADAS) sensor suite
    Read More

Highlighted Content