Skip to main content

TRW demonstrates semi-automated driving features

TRW Automotive Holdings is to demonstrate is semi-automated driving capabilities at the Company's vehicle test track event in Locke Township, Michigan, today. Drivers will be able to experience a 'highway driving assist' feature which can enable automatic steering, braking and acceleration for highway speeds above 25 mph. The demonstration vehicle integrates TRW's AC1000 radar and next generation camera prototype together with its electrically powered steering belt drive (EPS BD) and electronic stability
September 16, 2014 Read time: 2 mins
601 TRW Automotive Holdings is to demonstrate is semi-automated driving capabilities at the Company's vehicle test track event in Locke Township, Michigan, today. Drivers will be able to experience a 'highway driving assist' feature which can enable automatic steering, braking and acceleration for highway speeds above 25 mph.

The demonstration vehicle integrates TRW's AC1000 radar and next generation camera prototype together with its electrically powered steering belt drive (EPS BD) and electronic stability control EBC 460 – the combination of adaptive cruise control (ACC) and lane centring assist (LCA) functionalities. The ACC keeps the vehicle at a set speed until a slower vehicle appears in front or if another car cuts across the lane. It then automatically accelerates and/or slows the vehicle to keep a driver-selected gap, or constant time interval behind the slower vehicle. At the same time, the forward looking camera keeps the car in the centre of the lane. The driver can easily override the system at any time.

Peter Lake, executive vice president, Sales and Business Development at TRW commented: "Progress towards semi-automated and automated driving has gained huge momentum over the last 12 to 18 months as the industry is recognising the vast benefits it could deliver.

"The first steps have already been taken to introduce semi-automated features such as traffic jam assist on production vehicles but we believe it will be some time before fully autonomous cars become commonplace. There is still a lot of work to be done, including determining legislative frameworks. At TRW, we're following a building block approach showcasing what is achievable today using proven technology.”

For more information on companies in this article

Related Content

  • CES 2023: NXP chip for ADAS & AVs
    January 6, 2023
    Radar one-chip family allows long-range detection/separation of small and larger objects
  • Cadillac future is V2X, says General Motors
    June 7, 2018
    One of the biggest automotive manufacturers on the planet has signalled its intention to embrace cutting-edge ITS technology across an iconic brand. General Motors is to introduce vehicle-to-everything (V2X) communications – while extending a semi-autonomous, hands-free driver assistance feature - in its Cadillac range. The company made the announcement in a keynote speech at ITS America’s annual meeting in Detroit. Mark Reuss, GM executive vice president (above), global product development, purchasing an
  • Escort unveils connected car radar / laser detection system
    November 9, 2017
    Escort has announced the launch of what it claims to be the first radar and laser detector designed for connected cars (CCs) to alert drivers of the latest ticket threats in real-time. Through built in Wi-Fi, the Escort Max 360c (EM360) updates drivers through the vehicles on board connection. The EM360 connects directly to the CC’s Wi-FI and automatically connects to the real-time ticket-protection network, Escort Live (EL), without needing the smartphone to connect to the detector. It is designed with
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti