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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]
A multipoint ground system is more complicated to install and maintain over the long term, and can be more expensive to install. Star topology systems can be converted to multipoint systems by installing new conductors between old existing ones. However, this should be done with care as it can inadvertently introduce noise onto signal lines during the conversion process. The noise can be ...
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,
This is an advanced driver-assistance feature available in most high-end cars, mainly in European vehicles. An example algorithm for traffic-sign detection. Modern traffic-sign recognition systems are being developed using convolutional neural networks, mainly driven by the requirements of autonomous vehicles and self-driving cars. In these ...
That is, the System seeks to separate out the phases of a manoeuvre into a logical sequence so that the vehicle and the driver avoid being overwhelmed by having to do too much at the same time. For example, braking and steering at the same time place greater demands on the vehicle's available grip and in the worst case can lead to a skid.
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Other applications include monitoring driving behavior, such as an employer of an employee, or a parent with a teen driver. Vehicle tracking systems are also popular in consumer vehicles as a theft prevention, monitoring and retrieval device. Police can simply follow the signal emitted by the tracking system and locate the stolen vehicle.
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