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Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination. This technology plays a pivotal role in various fields, including industrial automation, self ...
"Pre sense rear", is designed to reduce the consequences of rear-end collisions. The sunroof and windows are closed and seat belts are prepared for impact. The seats are moved forward to protect the car's occupants. 2015 introduced the "avoidance assistant" system that intervenes in the steering to help the driver avoid an obstacle.
A simple collision avoidance system. In transportation, collision avoidance is the maintenance of systems and practices designed to prevent vehicles (such as aircraft, motor vehicles, ships, cranes and trains) from colliding with each other. They perceive the environment with sensors and prevent collisions using the data collected from the sensors.
Autonomous: the system acts independently of the driver to avoid or mitigate the accident. Emergency: the system will intervene only in a critical situation. Braking: the system tries to avoid the accident by applying the brakes. Time-to-collision could be a way to choose which avoidance method (braking or steering) is most appropriate. [6]
Forward sensing control uses collision avoidance sensors to avoid collisions with other AGV in the area. These sensors include: sonic, which work like radar; optical, which uses an infrared sensor; and bumper, physical contact sensor. Most AGV's are equipped with a bumper sensor of some sort as a fail-safe.
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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. If the vehicle then resumes moving backwards the alarm signal becomes louder as the obstacle is approached.
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