Trajectory Based Autonomous Vehicle Following using a Robotic Driver

نویسندگان

  • Martin Spencer
  • Daniel Jones
  • Martin Kraehling
چکیده

An autonomous vehicle following system including control approaches is presented in this paper. An existing robotic driver is used to control a standard passenger vehicle such that no modifications to the car are necessary. Only information about the relative position of the lead vehicle and the motion of the following vehicle is required, and methods are presented to construct a reference trajectory to enable accurate following. A laser scanner is used to detect the lead vehicle and the following vehicle’s ego-motion is sensed using an IMU and wheel encoder. An algorithm was developed and tested to locate the lead vehicle with RMS position and orientation errors of 65mm and 5.8◦ respectively. Several trajectory-based lateral controllers were tested in simulation and then experimentally, with the best controller having an RMS lateral deviation of 37cm from the path of the lead vehicle. A new trajectorybased spacing controller was tested in simulation which allows the following vehicle to reproduce the velocity of the lead vehicle.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Autonomous Parallel Parking of a Car Based on Parking Space Detection and Fuzzy Controller

This paper develops an automatic parking algorithm based on a fuzzy logic controller with the vehicle pose for the input and the steering angle for the output. In this way some feasible reference trajectory path have been introduced according to geometric and kinematic constraints and nonholonomic constraints to simulate motion path of car. Also a novel method is used for parking space detec...

متن کامل

Modeling and Intelligent Control System Design for Overtaking Maneuver in Autonomous Vehicles

The purpose of this study is to design an intelligent control system to guide the overtaking maneuver with a higher performance than the existing systems. Unlike the existing models which consider constant values for some of the effective variables of this behavior, in this paper, a neural network model is designed based on the real overtaking data using instantaneous values for variables. A fu...

متن کامل

Human-Robot Collaborative Planning for Navigation Based on Optimal Control Theory

Navigation modules are capable of driving a robotic platform without direct human participation. However, for some specific contexts, it is preferable to give the control to a human driver. The human driver participation in the robotic control process when the navigation module is running raises the share control issue. This work presents a new approach for two agents collaborative planning usi...

متن کامل

MANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios

Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...

متن کامل

Lane Change Trajectory Model Considering the Driver Effects Based on MANFIS

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009