<![CDATA[The high number of motorcycle accidents due to rider negligence confirms the need for an active safety system that is able to respond to emergency conditions, while research on auto-brakes is still limited, especially in terms of the detection distance of objects which are generally only active when there are objects within 9 meters according to sensor calibration and control logic as well as the application in low-speed vehicles at least 5 km/h. This research designed an Arduino Uno-based auto-brake system with LiDAR and infrared sensors to detect objects in front of the vehicle, with a braking mechanism running a servo motor that presses the main brake. The research methods include hardware design, sensor–actuator integration, fuzzy logic programming, and stationary testing using bike-based prototypes with variations in distance and speed. The results showed that the system was able to respond effectively at a distance of 700 cm with a maximum braking angle of 40°, maintaining stability in sudden conditions, thus confirming the effectiveness of fuzzy logic-based auto-brakes in improving rider safety while opening up the direction of further research for two-wheeled adaptive safety systems.]]>
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