Six technical trends that increase car navigation – opinion

Por Oleksandr Odukha

Future Car Navigation Advanced Driving Assistants, Intelligent Electrical Mobility and Autonomous Driving are a key factor for driving. Well connected, which can be used as dynamic from high resolution cartographic information, vehicle data and cloud. As a global mobility software supplier and one of the leading technical owners in Portugal, Intellis participates in many of these developments. The company has six technical trends, creating a car navigation in the near future.

Dashcams, drones and satellites make it easier to obtain map data and navigation today, and a lot more than ten years ago. However, data collection is intensive in terms of work. Although most of the world is now under public and corporate geographical information systems (GIS), it is necessary to maintain and update maps regularly.

Data accuracy and update mobility industry’s two biggest challenges, followed by coverage, because the physical world is constantly changing. To respond to these requirements, digital cartography and navigation development is accelerating. These six technical and application trends will increase the car navigation in the coming years, creating business opportunities, raising ROI and solving critical industry challenges.

#1 goes to more accurate maps

Today’s digital maps are built from satellite images, drone filming and vehicle sensors. Artificial Intelligence (AI) optimizes the exchange process of this huge gross data into navigable maps, automatically identifies roads, buildings and other aspects. This automation reduces manual effort in cartography, resulting in cost -saving and more frequent updates. For example, car companies have allowed AI-based predictive maintenance to save 15 billion euro management costs by 2022.

For car manufacturers and browsing solutions suppliers, AI provides significant cost reduction by reducing manual work and speeding up the map update. Companies adopting AI -based maps improve operational efficiency and reduce long -term management costs, while offering map services to subscription, creating new sources of income. For example, Fleet companies using AI-based navigation can record more fuel consumption capacity and save millions of euros in energy costs.

#2 Cartographic data systems are always updated

From digital maps offline systems to cloud -based dynamic platforms develop. New Global Standard, NDS.live, allows vehicles to receive real -time map updates, to improve browsing for electric and connected cars. Unlike a traditional database, NDS.live is the distribution system of cartographic data developed by technical leaders, including global manufacturers and intelligence. Daimler, here, adopts this technology to provide more effective driving experiences and provide real -time services, creating value to customers through more sophisticated navigation and improved safety features.

Combined with increasing demand for accurate and real -time data, reducing the costs associated with the management of updated maps can lead to profitability and more customer loyalty.

#3 Mapas HD E 3D

Three -dimensional (3D) maps allow 3D format to allow the most accurate representation of physical objects. High Definition Maps (HD) provides detailed information on road features, such as ranges, subsequent limits and landscape elements, cornering angles and arches of road surface.

HD and 3D maps improve the safety and accuracy of the Advanced Driving Assistance Systems (ADAS), which is the essential factor for car manufacturers who sell premium safety features on autonomous and semi-Atanamus vehicles, thus become a direct revenue source. The scalable implementation of these maps on different vehicle models can increase profitability by reducing the risk of hazards and reducing insurance costs to consumers.

#4 simulations for autonomous vehicles

Track is required to meet wide road tests and safety standards for autonomous vehicles. In addition, manufacturers must mimic partial-owned scenes without danger. Hyper-oralistic simulations allow autonomous driving algorithms to be tested in virtual environments, reducing the need for large-scale physical examinations. This approach accelerates development and reduces costs.

For example, Nvidia’s automotive unit recorded an annual growth of 72%, which shows the industry’s stronger investment in simulation technologies. These virtual Test surroundings allow manufacturers to start the new autonomous features in the market, improve their competitive status, reduce the launch time and increase profitability.

#5 Digital twins to improve traffic flow

Digital twins are interactive virtual representations of physical elements such as traffic codes and smart parking parks. Digital Twin Technology refers to the market opportunity to cooperate with cities, providing data analysis services that improve urban infrastructure and traffic management.

Real -time traffic flow optimization reduces congestion and fuel consumption, producing environmental benefits and savings for municipal governments. For car manufacturers, digital twins also support the development of smart vehicle services, increasing the adoption of consumer -connected cars.

The reality of #6 in navigation

HUDS Head-Up drivers with Augmented Reality (RA) are changing the process of receiving information. Instead of viewing the traditional GPS screen, drivers can see the navigation directions, warnings and dangers estimated in the windshield, improve road awareness and security.

Overall, RA navigation systems help drivers to make good decisions during driving. In addition, this technology leads to a new partnership with RA hardware suppliers and creates opportunities for integrated vehicle ads. A recent comparative study reveals that RA navigation systems can reduce travel time to 15%and reduce the number of defects made by drivers.

What does this mean?

With all these innovations, the navigation is wise, accurate and changing to suit the needs of drivers. The value of the business of these technologies in these trends is to benefit from more profitability, operational efficiency and scalable growth, which is beyond the technology improvement-companies, and at the same time facing key challenges such as executing costs and consumer adoption.

As the navigation systems become smarter, the entire automotive industry can transform a significant transition in cost structures, income opportunities and customer satisfaction.