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When a vehicle detects a problem, it generates a DTC code which is a unique code that corresponds to the specific problem detected. The code is usually a combination of letters and numbers. DTC codes are read by a diagnostic tool, such as an OBD 2 scanner, which is plugged into the vehicle's diagnostic port. The tool communicates with the ...
Various technologies and sensors that are used include radar (all-weather) and sometimes laser and cameras (employing image recognition) to detect an imminent crash. GPS sensors can detect fixed dangers such as approaching stop signs through a location database. [2] [4] [5] [6] Pedestrian detection can also be a feature of these types of systems.
Mobile device applications allow mobile devices such as cell phones and tablets to display and manipulate the OBD-II data accessed via USB adaptor cables or Bluetooth adapters plugged into the car's OBD II connector. Newer devices on the market are equipped with GPS sensors and the ability to transmit vehicle location and diagnostics data over ...
Through a human-machine interface, ADAS increase car and road safety. ADAS use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly. ADAS can enable various levels of autonomous driving.
A lane detection system used behind the lane departure warning system uses the principle of Hough transform and Canny edge detector to detect lane lines from realtime camera images fed from the front-end camera of the automobile. A basic flowchart of how a lane detection algorithm works to help lane departure warning is shown in the figures.
While only a concept car, the Ford GT90 was the first vehicle to be fitted with a modern blind spot monitoring system. [7] Currently, Ford uses the acronym BLIS for its blind spot detection. The system is active both in "drive" and "neutral" transmission gears, and is turned off when in reverse or park gears. [8]
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