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An Integrated Estimation Scheme for Resolving Tire Deformation Problem of Autonomous Vehicles

机译:解决自动驾驶汽车轮胎变形问题的综合估计方案

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Tire deformation problem of autonomous vehicles can not be neglected for most practical applications due to the complex road conditions, unsmooth motion control inputs, time-varying load weight, etc. This paper presents a novel scheme for on-line state estimation of an autonomous vehicle with tire deformation. Specifically, an adaptive estimator is designed to provide essential positions, velocities, and perturbation estimation of the vehicle by combining the inertial measurements and visual feedback. The convergence properties of the proposed estimator can be theoretically proved. Moreover, the developed estimation scheme can be easily implemented with low-cost onboard sensors. Simulation results validate the effectiveness and robustness of the proposed estimator in the presence of tire deformation.
机译:由于复杂的路况,不平滑的运动控制输入,随时间变化的负载重量等,在大多数实际应用中不能忽略自动驾驶汽车的轮胎变形问题。本文提出了一种用于自动驾驶汽车在线状态估计的新方案轮胎变形。具体地,自适应估计器被设计为通过结合惯性测量和视觉反馈来提供车辆的基本位置,速度和扰动估计。该估计器的收敛性质可以在理论上得到证明。此外,开发的估算方案可以通过低成本的车载传感器轻松实现。仿真结果验证了在存在轮胎变形的情况下所提出的估计器的有效性和鲁棒性。

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