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

  • March 7, 2018
    Health and care organisation adopt Spark EV AI-based technology
    UK-based health and care organisation Provide has adopted Spark EV’s artificial intelligence-based technology with the intention of removing range anxiety for drivers in its electric vehicle (EV) fleet rollout. The technology is said to enable the cars to complete 20% more journeys between charges. Called Spark, the system collects live driver, vehicle and other data sources through an in-car sensor. It uses cloud-based machine learning algorithms to provide more accurate journey predictions for EVs.
    Read More
  • September 6, 2023
    Detection and monitoring in Australia with Beam and Drover AI
    Companies team up to improve rider behaviour on e-scooters by using technology
    Read More
  • June 11, 2015
    Transportation applications move to machine vision’s mainstream
    The adaptation of machine vision to transport applications continues apace. That the machine vision industry is taking traffic installations seriously is evident by the amount of hardware and software products tailor-made for ITS applications that are now available on the market. A good example comes from US-based Gridsmart Technologies which has developed a single wire fisheye camera that provides a horizon to horizon view for use at intersections. Not only does the single camera replace four or more in a
    Read More
  • May 9, 2013
    Real time road hazard awareness system launched
    inthinc Technology Solutions, US-based telematics, fleet management and driver safety solutions provider has incorporated its road hazard awareness (RHA) into its waySmart fleet management solution, enabling managers and drivers to collectively communicate and warn each other of impending dangers on the roadways in real-time. Capable of integration into any corporate journey management system, inthinc RHA functions as an add-on feature of waySmart, a comprehensive telematics-based mobile resource management
    Read More

Highlighted Content