Skip to main content

Honda and Waymo in discussions on self-driving technology

Honda R&D the R&D subsidiary of Honda Motor is entering into formal discussions with Alphabet’s Waymo, with a view to integrating its self-driving technology with Honda vehicles. This technical collaboration between Honda researchers and Waymo's self-driving technology team would allow both companies to learn about the integration of Waymo's fully self-driving sensors, software and computing platform into Honda vehicles. As part of the discussion on technical collaboration, Honda could initially prov
December 22, 2016 Read time: 2 mins
1683 Honda R&D the R&D subsidiary of Honda Motor is entering into formal discussions with Alphabet’s Waymo, with a view to integrating its self-driving technology with Honda vehicles.

This technical collaboration between Honda researchers and Waymo's self-driving technology team would allow both companies to learn about the integration of Waymo's fully self-driving sensors, software and computing platform into Honda vehicles.

As part of the discussion on technical collaboration, Honda could initially provide Waymo with vehicles modified to accommodate Waymo's self-driving technology. These vehicles would join Waymo's existing fleet, which are currently being tested across four US cities.

If both parties agree to enter into a formal agreement, Honda R&D engineers based in Silicon Valley, California and Tochigi, Japan, would work closely with Waymo engineers based in Mountain View, California and Novi, Michigan.

Honda previously announced its intention to put production vehicles with automated driving capabilities on highways sometime around 2020 related to its goal of a collision-free society.  In addition to these on-going efforts, this technical collaboration with Waymo could allow Honda R&D to explore a different technological approach to bring fully self-driving technology to market. These discussions are an initial step that will allow Waymo and Honda R&D to further explore the potential of a broad range of automated driving technologies.

For more information on companies in this article

Related Content

  • TEXpress adds reversible managed lanes
    April 19, 2017
    Land availability restrictions and tidal traffic flows have led to the implementation of a novel managed lane configuration in Texas, as Colin Sowman finds out. Dealing with traffic congestion related to the ‘tidal flows’ caused by large numbers of commuters making their way into major business hubs in the morning and returning to the suburbs in the evening, has seen the widespread use of adaptive signal timing and even reversible lanes.
  • Ford to make electric cars 'attainable to the masses’
    November 28, 2014
    Mark Fields, president and CEO of Ford Motor Company, said on Monday that it intends to mass-produce affordable electric vehicles. Fields, in an interview with Yahoo Finance, emphasised that Ford has the capability to make electric cars with a strategy different from that of Tesla Motors. Revealing the company’s intentions to produce reasonably priced electric cars, Fields pointed out that the Dearborn, Michigan-based automaker has a full line of electric vehicles that have performed well in the market p
  • Communication: the future of machine vision
    May 30, 2013
    Jason Barnes asks leading machine vision industry figures what they consider to be the educational barriers to the technology’s increased uptake by the ITS sector. The recent rush by some organisations within the ITS sector to associate themselves with the term ‘machine vision’ underlines just how important the technology has become in a relatively short space of time. However, despite the technology having been applied in certain traffic management applications for some years, there remains a significant s
  • Trials show fuel savings with connected vehicle technology
    December 16, 2015
    American and European trials point to fuel and emissions reductions. A trial by University of California-Riverside (UC-Riverside) has shown connected vehicle technology has the potential to reduce fuel consumption (and therefore emissions) by up to 18% compared with an uninformed driver.