Skip to main content

Delphi to launch first coast-to-coast automated drive

UK automotive company Delphi Automotive will demonstrate the full capabilities of its active safety technologies with the longest automated drive ever attempted in North America. The coast-to-coast trip will launch near the Golden Gate Bridge in San Francisco on 22 March and will cover approximately 3,500 miles, finishing in New York. The journey will allow Delphi engineers to gather critical data and further advance the company’s active safety technology development in this rapidly growing segment of the a
March 17, 2015 Read time: 2 mins
Delphi automated drive
UK automotive company Delphi Automotive will demonstrate the full capabilities of its active safety technologies with the longest automated drive ever attempted in North America. The coast-to-coast trip will launch near the Golden Gate Bridge in San Francisco on 22 March and will cover approximately 3,500 miles, finishing in New York.

The journey will allow Delphi engineers to gather critical data and further advance the company’s active safety technology development in this rapidly growing segment of the auto industry. During the cross-country trek, the vehicle will be challenged under a variety of driving conditions from changing weather and terrain to potential road hazards -- things that could never truly be tested in a lab.

Recently demonstrated on the streets of Las Vegas at CES 2015, Delphi’s automated driving vehicle leverages a full suite of technologies and features to make this trip possible, including radar, vision and advanced drive assistance systems (ADAS). A high-end microprocessor seamlessly drives multiple features and functions, while wireless vehicle communication technology extends the range of existing ADAS functionality. Intelligent software such as traffic jam assist, automated highway pilot with lane change (on-ramp to off-ramp highway pilot), automated urban pilot and automated parking and valet, enables the vehicle to make complex, human-like decisions for real-world automated driving.

“Delphi had great success testing its car in California and on the streets of Las Vegas,” said Jeff Owens, Delphi’s chief technology officer. “Now it’s time to put our vehicle to the ultimate test by broadening the range of driving conditions. This drive will help us collect invaluable data in our quest to deliver the best automotive grade technologies on the market.”    

Delphi’s active safety technologies enable the vehicle to instantaneously make complex decisions, like stopping and then proceeding at a four-way stop, timing a highway merge or calculating the safest manoeuvre around a cyclist on a city street. Many of these driving scenarios have been a limitation for much of the current technology on the market today.

Related Content

  • Next-gen sensor needs for safer, smarter cities
    July 1, 2021
    Next-generation radar sensor solutions will help smart cities deliver on the promise of optimising infrastructure, mobility, sustainability and safety, says Econolite CTO Eric Raamot
  • Here: AI has place in ‘privacy by design’
    June 23, 2020
    Artificial intelligence may improve traffic in cities and keep location data private, but Here Technologies shows that it only takes four points of anonymous data to predict your identity.
  • Traffic management turns to machine vision
    June 1, 2016
    Traffic engineers can use the latest advances in vision technology to streamline and enhance traffic management. The idea of using one camera to perform all functions at an intersection is attractive to authorities for many reasons and camera supplier Gridsmart says it can make this happen. Its Bell Camera offers a horizon to horizon view that includes the centre of the intersection where vehicles, bicycles and pedestrians cross paths and it can be used for traffic light actuation, traffic data collection a
  • Getting to the point
    September 4, 2018
    Cars are starting to learn to understand the language of pointing – something that our closest relative, the chimpanzee, cannot do. And such image recognition technology has profound mobility implications, says Nils Lenke Pointing at objects – be it with language, using gaze, gestures or eyes only – is a very human ability. However, recent advances in technology have enabled smart, multimodal assistants - including those found in cars - to action similar pointing capabilities and replicate these human qual