Leader-Based Trajectory Following in Unstructured Environments-From Concept to Real-World Implementation

In this paper, the problem of vehicle guidance by means of an external leader is described. The objective is to navigate a four-wheeled vehicle through unstructured environments, characterized by the lack of availability of typical guidance infrastructure like lane markings or HD maps. The trajectory-following approach is based on an estimate of the leader's path. For that, position measurements are stored over time with respect to an inertial frame. A new strategy is proposed to rate the significance of position measurements and ensure that a certain threshold of stored samples is not exceeded. Having an estimate of the leader path is essential to prevent the cutting-corner phenomenon and for exact path following in general. A spline-approximation technique is applied to obtain a smooth reference path for the underlying lateral and longitudinal motion controllers. For longitudinal tracking, a constant time-headway policy was implemented, to follow the leader with a constant time gap along the estimated path. The algorithm was first developed and tested in a simulation framework and then deployed in a demonstrator vehicle for validation under real operating conditions. The presented experimental results were achieved using only on-board sensors of the demonstrator vehicle, while high-accuracy differential GPS-based position measurements serve as the ground truth data for visualization.

Automated summary

This paper addresses the problem of guiding a vehicle through unstructured environments using an external leader. The proposed trajectory-following approach estimates the leader's path and uses a spline-approximation technique to obtain a smooth reference path. A constant time-headway policy is implemented for longitudinal tracking. The algorithm is tested in a simulation framework and validated in a demonstrator vehicle under real operating conditions, using on-board sensors for data collection.