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The design of a satellite navigation system is the basis of the automotive map positioning system. It locates users on the road using the system’s map database after receiving their position data from a GPS device. Its features include real-time traffic information, map updates, and smartphone connections.
The global map positioning unit has developed into one of the most important instruments for vehicle positioning, giving not only vehicle location data but also a geometry view of the route being used.
The potential for using car positioning technologies to promote safety on the road has substantially increased because of developments in wireless communication that enable a vehicle to exchange its location information with other vehicles and traffic control towers.
The global automotive map positioning unit market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
Nissan Motor Corporation’s new model “SKYLINE” has been equipped with Hitachi Automotive Systems, Ltd.’s advanced driver assistance ECU (Electronic Control Unit) and high-definition map position unit, both of which are capable of automated map updates via OTA (Over The Air).
In order to provide highly accurate and inexpensive global vehicle positioning, accurate to less than 1 metre, Qualcomm Vision Enhanced Precise Positioning software combines the output of multiple, currently used automotive sensors, including Global Navigation Satellite Services, camera, Inertial Measurement Unit, and wheel sensors.
Bynav Technology plans to produce the X2 automotive-grade GNSS/INS positioning unit with the goal of giving automakers and integrators of autonomous driving a mass-production positioning solution.
In addition to supporting GPTP (precision time protocol), L-band signal reception, PPP/PPP-RTK mode, and the seamless switch of RTK/PPP mode in areas with poor N-RTK service coverage and overseas users, X2 is a credit-card-sized rugged housing with Automotive Ethernet Interface that is capable of providing high-precision positioning results through satellite-based enhanced signals even in the environment where there is no mobile signal and no base station is required.
Based on the deeply coupled GNSS/INS technology architecture, X2 can output the absolute centimeter-level position above 200Hz for use in urban canyons, tunnels, canopy of trees, severe weather such as heavy fog, rain, snow, and dust, as well as harsh environments such as traffic jams, neon lights, worn lane lines, and open road sections without feature points. In order to further increase the precision and stability of the GNSS/INS position, it can also be integrated with odometers.
BMW Group will use HERE HD Live Map, a high-definition map from HERE Technologies, to enable hands-free driving in the US and Canada, according to a statement from HERE Technologies.
One of the first companies in the world to offer high-definition maps for Level 2+ automated driving in mass-produced automobiles is HERE. This is the end product of a protracted partnership between BMW and HERE on advanced mapping capabilities.
To help the vehicle know exactly where it is on the road and what road characteristics are ahead, the HERE HD Live Map is made up of rich, incredibly accurate, and brand-new layers of data.
The lane-level data gives the onboard sensors a second source of information that is redundant, adding to the system’s safety. A vehicle can proactively adapt its behaviour to impending road features with the use of the HERE HD Live Map.
Drivers who want a complete navigation system on their smartphone frequently choose TomTom’s Go Navigation app. The software offers real-time traffic updates, which can assist drivers in avoiding delays and accelerating their travel time.
Moreover, it has speed camera notifications, which warn drivers when a speed camera or red light camera is nearby.
The offline maps of the TomTom Go Navigation app are one of its best features. Users can use the software for navigation even when there is no cellular signal by downloading maps in advance and storing them on their device.
Drivers who frequently go to isolated or rural locations, where cell service may be patchy, may find this to be very useful.
The TomTom Go Navigation app also offers voice-guided navigation, which gives turn-by-turn directions via speaking instructions, in addition to these functions.
Drivers can use the app’s lane guiding feature to find their way through tricky intersections and exits to highways. All things considered, the TomTom Go Navigation app is a thorough and user-friendly navigation system that can be a useful tool for drivers on the go.
The Drive Map Platform is launched by Nvidia. Drive Map was created using a crowdsourced map and a “ground truth” survey map engine. The company believes that by combining the two engines, it will be possible to use specialised survey vehicles, such as millions of passenger cars that are constantly updating and expanding the map, to achieve centimetre-level precision.
Drive Map was developed using DeepMap’s technology, which Nvidia acquired when it purchased the business.
Millions of automobiles provide map updates to the AI-based crowdsourcing engine, which collects this data and uploads it to the cloud as the cars are in motion.
The information is then combined in Nvidia Omniverse and used to refresh maps in a matter of hours, according to the business.
The business claimed that Drive Map offers a data interface, Drive MapStream, that enables any vehicle that satisfies the necessary requirements to constantly update the map using camera, radar, and lidar data.
It is crucial for technology developers to map the world’s roads as a blueprint so that self-driving vehicles can travel without difficulty. The goal is to create high-definition images with all the knowledge beforehand.
In this manner, common signs and symbols can be recognized by self-driving cars, reducing the need for computer vision systems to identify signs and symbols, comprehend them, and take appropriate action when necessary.
Such detailed data and information will improve precision and lessen reliance on real-time processes for improved guidance. It will support gaining regulatory approval to quickly put this technology on the road as well as aid in establishing public confidence for self-driving cars.
