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An induction or inductive loop is an electromagnetic communication or detection system which uses a moving magnet or an alternating current to induce an electric current in a nearby wire. Induction loops are used for transmission and reception of communication signals, or for detection of metal objects in metal detectors or vehicle presence ...
This system uses 3D maps, GNSS data, and sensors to monitor the vehicle’s surroundings and driver condition. It can control acceleration, braking, and steering for smooth driving and includes features like hands-off lane change assist and Traffic Jam Pilot for Level 3 automated driving , approved by Japan's Ministry of Land, Infrastructure ...
The electromagnetic parking sensor (EPS) was re-invented and patented in 1992 by Mauro Del Signore. [2] Electromagnetic sensors rely on the vehicle moving slowly and smoothly towards the object to be avoided. Once an obstacle is detected, the sensor continues to signal the presence of the obstacle even if the vehicle momentarily stops.
This system uses cameras to monitor lane markings to stay within a safe distance between both sides of the lane. [43] Lane change assistance helps the driver through a safe completion of a lane change by using sensors to scan the vehicle's surroundings and monitor the driver's blind spots. [44]
The Sydney Coordinated Adaptive Traffic System, abbreviated SCATS, is an intelligent transportation system that manages the dynamic (on-line, real-time) timing of signal phases at traffic signals, meaning that it tries to find the best phasing (i.e. cycle times, phase splits and offsets) for a traffic situation (for individual intersections as well as for the whole network).
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.
If no action is taken, the vehicle will apply the brakes (a warning alarm will sound followed by a brief automatic application of the braking system). This system is said to be the first of its kind. [2] In 2008, the Toyota Crown system went further and can detect if the driver is becoming sleepy by monitoring the eyelids. [4] [5]
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 scenarios, the detection system needs to identify a variety of traffic signs and not just speed limits.