Here unveils Live Sense road hazard SDK

Here Technologies has released a software development kit (SDK) which it says provides real-time insights on driving conditions and upcoming obstacles without the need for connectivity. Here claims its Live Sense SDK uses artificial intelligence and machine learning to turn front-facing cameras such as smartphones and dashcams into vehicle sensors which can detect other vehicles, pedestrians or cyclists, potholes and road closures. Live Sense then provides information through audio and visual notificati
October 14, 2019 Read time: 2 mins

7643 Here Technologies has released a software development kit (SDK) which it says provides real-time insights on driving conditions and upcoming obstacles without the need for connectivity.

Here claims its Live Sense SDK uses artificial intelligence and machine learning to turn front-facing cameras such as smartphones and dashcams into vehicle sensors which can detect other vehicles, pedestrians or cyclists, potholes and road closures.

Live Sense then provides information through audio and visual notifications to help the driver take appropriate action. It can also keep drivers informed of a change in speed limit, the company adds.

Here’s chief operating officer Angel Mendez says: “Today there are still millions of commercial and passenger cars on the roads without the necessary technology to keep drivers informed about potential hazards. The Here Live Sense SDK will help to change that.”

The solution is available to automotive OEMs, fleet and ride-hailing operators and app developers in beta for Android devices. An iOS version will be released soon.

UTC

Related Content

  • January 25, 2012
    Machine vision - cameras for intelligent traffic management
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More
  • July 27, 2017
    Here integrates real-time traffic data from Audi, BMW and Mercedes
    Here Technologies has launched a new generation of its Here Real-Time Traffic service, which integrates live vehicle sensor data from Audi, BMW and Mercedes-Benz vehicles with traffic probe information, resulting in higher accuracy and more precise information about traffic conditions. Here Real-Time Traffic, available to all current and future customers from any industry and covering more than 60 countries, offers improvements in traffic flow data, especially on arterial roads. For more than 30 of those co
    Read More
  • June 22, 2016
    Enforcement comes in many guises
    Colin Sowman looks at some enforcement case studies from around the world. It is a sad fact of life that unenforced laws are not adhered to by a sometimes sizable proportion of the public and once enforcement is seen to be lacking, some drivers can take this to extremes and authorities must decide how to regain control.
    Read More
  • April 10, 2014
    Cellint measures speed and travel time without roadside infrastructure
    Collecting speed and travel time data without using roadside infrastructure could offer new possibilities to cash-strapped road authorities. Streaming video may be useful for traffic controllers to monitor incidents and automatic number plate recognition may be required for enforcement, but neither are necessary for many ITS functions. For instance travel times, tailbacks, percentage of vehicles turning, origin and destination analysis can all be done using Bluetooth and/or WI-Fi sensors and without video o
    Read More

Highlighted Content