nuTonomy to test self-driving cars on public roads in Boston

US self-driving car startup nuTonomy is to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston. The company, which launched a self-driving car trial in Singapore in September, has been given permission to operate its vehicles in the city’s Raymond L. Flynn Marine Park. nuTonomy equips its vehicles with a software system which has been integrated with high-performance sensing and computing components, to enable safe operation without a driver.
November 22, 2016 Read time: 2 mins
US self-driving car startup nuTonomy is to begin testing its growing fleet of self-driving cars on specific public streets in a designated area of Boston. The company, which launched a self-driving car trial in Singapore in September, has been given permission to operate its vehicles in the city’s Raymond L. Flynn Marine Park.

nuTonomy equips its vehicles with a software system which has been integrated with high-performance sensing and computing components, to enable safe operation without a driver.

The company’s technology system out of research conducted in Massachusetts Institute of Technology labs run by nuTonomy co-founders Karl Iagnemma and Emilio Frazzoli.

During the Boston road tests, nuTonomy’s software system will learn local signage and road markings while gaining a deeper understanding of pedestrian, cyclist, and driver behaviour and interaction across a complex urban driving environment. nuTonomy plans to work with government officials to expand the testing area to other parts of the city in the near future.

The testing in Boston will enable nuTonomy to build on the knowledge it has gained from the public road tests and public trials it has been conducting in Singapore, where it plans to launch its self-driving mobility-on-demand service in 2018.
Location Based Systems

Related Content

  • Future for connected cars ‘looks promising, but obstacles remain’
    October 19, 2016
    A new report released today by The Economist Intelligence Unit (The EIU) highlights that the huge investment already going into research and development for connected vehicles is reaping rewards. However, several obstacles still remain – from privacy and security concerns, to a lack of infrastructure, the need for a legislative framework, issues around congestion and pollution and the very real threat from on-demand transport disruptors such as Uber and Lyft. Matt Kendall, telecoms analyst at The EIU, sa
    Read More
  • Increased automation is already improving road safety
    April 20, 2017
    Richard Cuerden considers how many of the technologies developed as part of a move toward autonomous vehicles are already being deployed as ADAS improve road safety. The drive to create autonomous vehicles has caused a re-evaluation of what is needed to safely navigate today’s roads and the development of systems that can replace the driver in many scenarios. However, many manufacturers are not waiting for ‘tomorrow’ and are already incorporating these systems in their new cars as Advanced Driver Assistanc
    Read More
  • Motown morphs into Mobility City
    August 7, 2018
    Detroit was once a byword for urban decay – but ITS America recently held its annual meeting there. This gave David Arminas a chance to assess how fast Motor City is moving down the road to recovery. Motor City, as Detroit is still called, was on its financial knees only five short years ago. The future looked bleak as the city and greater urban area bled jobs and population. It was on 18 July 2013 that Motown, as Detroit is also known, filed for Chapter 9 bankruptcy protection, the
    Read More
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More

Highlighted Content