The invention provides a heavy-duty
commercial vehicle AEB braking decision-making method based on a driving assistance map, a vehicle and a medium, and belongs to the technical field of
commercial vehicle intelligent driving. The method comprises the steps of obtaining a vehicle speed, analyzing a gradient / curvature value, calculating a safety distance, detecting a
collision risk, correcting a braking force request according to a
gradient direction, determining a self-adaptive distribution coefficient based on the curvature value, and determining the braking force according to the self-adaptive distribution coefficient. The braking force request and the distribution coefficient are integrated, a braking force
control signal is output, and braking is executed. According to the method, through a gradient compensation model and a curvature self-adaptive strategy, downhill force increasing, uphill force reducing and load balance of wheels on the inner side and the outer side of a curve are achieved, and the problem of braking failure of a traditional AEB under the complex
road condition is solved; and in combination with safe distance dynamic
verification and braking force threshold constraint, it is ensured that the braking decision meets the physical limit, the braking safety and robustness are improved, and the multi-working-condition requirements of the heavy-duty
commercial vehicle are met.