{"id":7515,"date":"2018-01-20T16:35:50","date_gmt":"2018-01-20T15:35:50","guid":{"rendered":"https:\/\/www.intellias.com\/?p=7515"},"modified":"2023-09-15T13:48:05","modified_gmt":"2023-09-15T11:48:05","slug":"data-driven-protocols-advanced-driver-assistance-systems","status":"publish","type":"post","link":"https:\/\/intellias.com\/data-driven-protocols-advanced-driver-assistance-systems\/","title":{"rendered":"Data-Driven Protocols for Advanced Driver Assistance Systems"},"content":{"rendered":"

Business challenge<\/h2>\n

Our client, a global mapping software and services company, is among the most distinguished innovators in the global automotive<\/a> sector. The world\u2019s leading auto manufacturers, including of premium and luxury makes, have recognized our client\u2019s products and services as capable of reshaping the conventional notion of the car as we know it.<\/p>\n

Setting today\u2019s and tomorrow\u2019s automotive trends with connected cars, autonomous driving, real time incident reporting, and traffic services. and HD maps, our client has a lot to offer. However, the central focus of their automotive portfolio has always been the safety that comes with advanced navigation and driver assistance solutions.
\n\"Data-Driven<\/p>\n

Since 2015, we\u2019ve been building sophisticated software for our client across multiple programs. One of these programs involved developing key software components for navigation and electronic horizon solutions for a German manufacturer of luxury vehicles. In their earlier models, this manufacturer\u2019s navigation system used a proprietary electronic horizon protocol to calculate the most feasible routes, pull map information related to these routes, and push that information over the CAN bus to the vehicle\u2019s electronic units controlling cruise control, headlights, power train, and night vision aids.<\/p>\n

The carmaker wanted to upgrade their legacy protocol to a newer version to comply with the latest advances in the automotive IoT sector. One of their main goals was to integrate live traffic data, aggregated in the cloud, from incident data providers and on-board sensors of millions of vehicles worldwide. With this data driven tool for route planning, vehicles could react and adapt to road conditions at distances of a hundred meters to a few kilometers. As the core engineering partner, Intellias accepted the challenge of enhancing driving safety and comfort through ADAS<\/a> functions.<\/p>\n

Technology solution<\/h2>\n

The electronic horizon is represented by two protocols. The first, the small-radius protocol, calculates the most feasible routes and provides relevant data for up to two kilometers ahead of the vehicle\u2019s current position. The second, the large-radius protocol, does the same for the entire active or most feasible route.<\/p>\n

Before cooperating with Intellias, our client\u2019s team had been working on the small-radius protocol and related service modules. But in the face of increased development demand, they started experiencing a shortage of engineering capacity. We launched a pilot collaboration with our team to share some of the development and testing effort on the small-radius component. Our first contributions were appreciated, and gradually our team began to grow and take over development, testing, and deployment. We\u2019re now working on the large-radius protocol version concurrently with the small-radius version. Our client\u2019s involvement in the development process has been reduced to providing extremely specific mapping expertise and high-level technical supervision.<\/p>\n

Intellias\u2019 principal responsibilities are gathering and structuring, per protocol specifications, map-related and traffic-related data from both online and offline sources. These include an in-vehicle map database, vehicle GPS coordinates, cloud-based real-time traffic feeds, and onboard sensors. Thisdata integration and analysis system for safe route planningcomprises vehicle speed, number of lanes, road slope and curvature, detailed intersection information, speed limits, road signs, detected road obstacles, and more. This information is then sent over the CAN bus to various ADAS functions to calculate the vehicle\u2019s predicted path and tune its active safety aids for fast reaction.<\/p>\n

For product quality control, we\u2019re using our client\u2019s proprietary Windows-based simulation solution to automatically build routes, generate all necessary input data, and emulate the correct operation of the vehicle\u2019s ADAS functions by virtually driving these routes. As the simulation tool is generic for all navigation testing across our client\u2019s organization, we\u2019ve adapted it to fit our specific needs and increase its performance. This helps ensure the optimal level of defect detection and elimination before going into production.<\/p>\n

Business impact<\/h2>\n

Currently, up to 70% of the development activities for the electronic horizon protocol are handled by Intellias, including the overall development and testing cycles, release management, and production deployment. After a few successful production rollouts, we\u2019ve been entrusted with communicating directly with the automaker\u2019s team on technical issues.<\/p>\n

Our client\u2019s team has been actively developing a specification for the next-generation protocol that features more detailed road network data, higher resolution, and performance-optimized messages. The new protocol eliminates low-speed constraints of the archaic CAN bus and gets closer to the newest ADASIS standard, allowing it to send much more information to a new breed of active safety solutions. Having amassed enough expertise in mapping and ADAS, Intellias took over the implementation of the new protocol specification after its final approval.<\/p>\n

The scope of services\u00a0Intellias\u00a0has provided includes<\/b><\/p>\n

    \n
  • Integration of real-time traffic updates\u00a0from the cloud\u00a0to get up-to-the-minute incident reports and road network\u00a0changes<\/li>\n
  • Calculation of paths\u00a0that\u00a0a vehicle\u00a0is\u00a0predicted\u00a0to\u00a0drive\u00a0based on a set of pre-defined rules<\/li>\n
  • Implementation of predictive information sharing to assist the driver\u2019s decision-making<\/li>\n
  • Development based\u00a0on\u00a0proprietary\u00a0electronic\u00a0horizon standards<\/li>\n
  • Exchange\u00a0of\u00a0map-related\u00a0and traffic-related\u00a0information\u00a0between the CAN bus and the vehicle\u2019s ADAS functions<\/li>\n
  • Quality control through simulation, integration,\u00a0and unit testing<\/li>\n<\/ul>\n
    \n\t\t\t
    \n\t\t\t\t
    \n\t\t\t\t<\/linearGradient><\/defs><\/svg>\n\t\t\t\t\t

    The partnership resulted in increased efficiency and a 40% reduction in costs, while allowing in-house staff to focus on strategic projects. Intellias impressed with their solid talent acquisition process and quality standards. The agency’s proactive management kept projects moving forward.<\/p>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\tAndrew,<\/span> R&D Director at Global LBS company<\/span><\/span>\n\t\t\t\t<\/small>\n\t\t\t<\/blockquote>\n\t\t<\/section>\n","protected":false},"excerpt":{"rendered":"

    We helped equip German premium cars with the most advanced driver assistance functions on the market <\/p>\n","protected":false},"author":6,"featured_media":49749,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[12,37],"acf":[],"yoast_head":"\nData-Driven Protocols for ADAS | Intellias Case Study<\/title>\n<meta name=\"description\" content=\"Read our case study on how Intellias helped equip German premium cars with the most advanced driver assistance functions on the market.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/intellias.com\/data-driven-protocols-advanced-driver-assistance-systems\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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