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Mathematically, automotive navigation is based on the shortest path problem, within graph theory, which examines how to identify the path that best meets some criteria (shortest, cheapest, fastest, etc.) between two points in a large network. Automotive navigation systems are crucial for the development of self-driving cars. [1]
Turn-by-turn navigation is a feature of some satellite navigation devices where directions for a selected route are continually presented to the user in the form of spoken or visual instructions. [1] The system keeps the user up-to-date about the best route to the destination, and is often updated according to changing factors such as traffic ...
"Passive" devices store GPS location, speed, heading and sometimes a trigger event such as key on/off, door open/closed. Once the vehicle returns to a predetermined point, the device is removed and the data downloaded to a computer for evaluation. Passive systems include auto download type that transfer data via wireless download.
A multipoint ground is at its best when it allows currents of many different frequencies to find a path to ground. If the system is expected to always have no more than main current present, the wavelengths involved at 50 or 60 Hz will cause the system design to become a star topology. But if higher frequencies are present, they need to be closer.
An automotive navigation system takes its location from a GNSS system and, depending on the installed software, may offer the following services: Mapping, including street maps, text or in a graphical format, Turn-by-turn navigation directions via text or speech, Directions fed directly to a self-driving car,
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