• Title/Summary/Keyword: Autonomous steering

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Development of Autonomous Driving Electric Vehicle for Logistics with a Robotic Arm (로봇팔을 지닌 물류용 자율주행 전기차 플랫폼 개발)

  • Eui-Jung Jung;Sung Ho Park;Kwang Woo Jeon;Hyunseok Shin;Yunyong Choi
    • The Journal of Korea Robotics Society
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    • v.18 no.1
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    • pp.93-98
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    • 2023
  • In this paper, the development of an autonomous electric vehicle for logistics with a robotic arm is introduced. The manual driving electric vehicle was converted into an electric vehicle platform capable of autonomous driving. For autonomous driving, an encoder is installed on the driving wheels, and an electronic power steering system is applied for automatic steering. The electric vehicle is equipped with a lidar sensor, a depth camera, and an ultrasonic sensor to recognize the surrounding environment, create a map, and recognize the vehicle location. The odometry was calculated using the bicycle motion model, and the map was created using the SLAM algorithm. To estimate the location of the platform based on the generated map, AMCL algorithm using Lidar was applied. A user interface was developed to create and modify a waypoint in order to move a predetermined place according to the logistics process. An A-star-based global path was generated to move to the destination, and a DWA-based local path was generated to trace the global path. The autonomous electric vehicle developed in this paper was tested and its utility was verified in a warehouse.

A Fusion Algorithm of Pure Pursuit and Velocity Planning to Improve the Path Following Performance of Differential Driven Robots in Unstructured Environments (차동 구동형 로봇의 비정형 환경 주행 경로 추종 성능 향상을 위한 Pure pursuit와 속도 계획의 융합 알고리즘)

  • Bongsang Kim;Kyuho Lee;Seungbeom Baek;Seonghee Lee;Heechang Moon
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.251-259
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    • 2023
  • In the path traveling of differential-drive robots, the steering controller plays an important role in determining the path-following performance. When a robot with a pure-pursuit algorithm is used to continuously drive a right-angled driving path in an unstructured environment without turning in place, the robot cannot accurately follow the right-angled path and stops driving due to the ground and motor load caused by turning. In the case of pure-pursuit, only the current robot position and the steering angle to the current target path point are generated, and the steering component does not reflect the speed plan, which requires improvement for precise path following. In this study, we propose a driving algorithm for differentially driven robots that enables precise path following by planning the driving speed using the radius of curvature and fusing the planned speed with the steering angle of the existing pure-pursuit controller, similar to the Model Predict Control control that reflects speed planning. When speed planning is applied, the robot slows down before entering a right-angle path and returns to the input speed when leaving the right-angle path. The pure-pursuit controller then fuses the steering angle calculated at each path point with the accelerated and decelerated velocity to achieve more precise following of the orthogonal path.

Vehicle State Estimation Robust to Wheel Slip Using Extended Kalman Filter (휠 슬립에 강건한 확장칼만필터 기반 차량 상태 추정)

  • Myeonggeun, Jun;Ara, Jo;Kyongsu, Yi
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.4
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    • pp.16-20
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    • 2022
  • Accurate state estimation is important for autonomous driving. However, the estimation error increases in situations that a lot of longitudinal slip occurs. Therefore, this paper presents a vehicle state estimation method using an Extended Kalman Filter. The filter estimates the states of the host vehicle robust to wheel slip. It utilizes the measurements of the four-wheel rotational speeds, longitudinal acceleration, yaw-rate, and steering wheel angle. Nonlinear measurement model is represented by Ackermann Model. The main advantage of this approach is the accurate estimation of yaw rate due to the measurement of the steering wheel angle. The proposed algorithm is verified in scenarios of autonomous emergency braking (AEB), lane change (LC), lane keeping (LK) using an automated vehicle. The results show that the proposed algorithm guarantees accurate estimation in such scenarios.

Real-Time Obstacle Avoidance of Autonomous Mobile Robot and Implementation of User Interface for Android Platform (자율주행 이동로봇의 실시간 장애물 회피 및 안드로이드 인터페이스 구현)

  • Kim, Jun-Young;Lee, Won-Chang
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.4
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    • pp.237-243
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    • 2014
  • In this paper we present an real-time obstacle avoidance technique of autonomous mobile robot with steering system and implementation of user interface for mobile devices with Android platform. The direction of autonomous robot is determined by virtual force field concept, which is based on the distance information acquired from 5 ultrasonic sensors. It is converted to virtual repulsive force around the autonomous robot which is inversely proportional to the distance. The steering system with PD(proportional and derivative) controller moves the mobile robot to the determined target direction. We also use PSD(position sensitive detector) sensors to supplement ultrasonic sensors around dead angle area. The mobile robot communicates with Android mobile device and PC via Ethernet. The video information from CMOS camera mounted on the mobile robot is transmitted to Android mobile device and PC. And the user can control the mobile robot manually by transmitting commands on the user interface to it via Ethernet.

Path Planning for Autonomous Navigation of a Driverless Ground Vehicle Based on Waypoints (무인운전차량의 자율주행을 위한 경로점 기반 경로계획)

  • Song, Gwang-Yul;Lee, Joon-Woong
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.2
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    • pp.211-217
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    • 2014
  • This paper addresses an algorithm of path planning for autonomous driving of a ground vehicle in waypoint navigation. The proposed algorithm is flexible in utilization under a large GPS positioning error and generates collision-free multiple paths while pursuing minimum traveling time. An optimal path reduces inefficient steering by minimizing lateral changes in generated waypoints along a path. Simulation results compare the proposed algorithm with the A* algorithm by manipulation of the steering wheel and traveling time, and show that the proposed algorithm realizes real-time obstacle avoidance by quick processing of path generation, and minimum time traveling by producing paths with small lateral changes while overcoming the very irregular positioning error from the GPS.

Moving Path Following of Autonomous Mobile Robot using Fuzzy (퍼지를 이용한 자율이동로봇의 이동경로 추종)

  • 김은석;주기세
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.84-92
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    • 2000
  • Recently, the progress of industrialization has been taken concern of material handling automation. So for, the conveyor belt has been popular for material handling. However, this system has many disadvantages such as the space, cost, etc. In this paper, a new navigation algorithm using fuzzy is introduced. The mobile robot follows a line installed on the roads. These informations are inputted with three approximate sensors. These obtained informations are analyzed with fuzzy control technique fur autonomous steering. Therefore, unlike existing systems, high reliability is guaranteed under bad environment conditions. The installation and maintenance of a line is easily made at lower cost. This developed mobile robot can be applied to material handling automation in manufacturing system, hospital, inter-office document del ivory.

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Study on Traveling Characteristics of Straight Automatic Steering Devices for Drivable Agricultural Machinery (승용형 농기계용 직진 자동조향장치 주행특성 연구)

  • Won, Jin-ho;Jeon, Jintack;Hong, Youngki;Yang, Changju;Kim, Kyoung-chul;Kwon, Kyung-do;Kim, Gookhwan
    • Journal of Drive and Control
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    • v.19 no.4
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    • pp.19-28
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    • 2022
  • This paper introduces an automatic steering system for straight traveling capable of being mounted on drivable agricultural machinery which user can handle it such as a tractor, a transplant, etc. The modular automatic steering device proposed in the paper is composed of RTK GNSS, IMU, HMI, hydraulic valve, and wheel sensor. The path generation method of the automatic steering system is obtained from two location information(latitude and longitude on each point) measured by GNSS in advance. From HMI, a straight path(AB line) can be created by connecting latitude and longitude on each point and the device makes the machine able to follow the path. During traveling along the reference path, it acquires the real time position data every sample time(0.1s), compares the reference with them and calculates the lateral deviation. The values of deviation are used to control the steering angle of the machine using hydraulic valve mounted on the axle of front wheel. In this paper, Pure Pursuit algorithm is applied used in autonomous vehicles frequently. For the analysis of traveling characteristics, field tests were executed about these conditions: velocity of 2, 3, 4km/h which is applied to general agricultural work and ground surface of solid(asphalt) and weak condition(soil) such as farmland. In the case of weak ground state, two experiments were executed about no-load(without work) and load(with work such as plowing). The maximum average deviations were presented 2.44cm, 7.32cm, and 11.34cm during traveling on three ground conditions : asphalt, soil without load and with load(plowing).

Development of Sensor-based Motion Planning Method for an Autonomous Navigation of Robotic Vehicles (로봇형 차량의 자율주행을 위한 센서 기반 운동 계획법 개발)

  • Kim, Dong-Hyung;Kim, Chang-Jun;Lee, Ji-Yeong;Han, Chang-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.6
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    • pp.513-520
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    • 2011
  • This paper presents the motion planning of robotic vehicles for the path tracking and the obstacle avoidance. To follow the given path, the vehicle moves through the turning radius obtained through the pure pursuit method, which is a geometric path tracking method. In this paper, we assume that the vehicle is equipped with a 2D laser scanner, allowing it to avoid obstacles within its sensing range. The turning radius for avoiding the obstacle, which is inversely proportional to the virtual force, is then calculated. Therefore, these two kinds of the turning radius are used to generate the steering angle for the front wheel of the vehicle. And the vehicle reduces the velocity when it meets the obstacle or the large steering angle using the potentials of obstacle points and the steering angle. Thus the motion planning of the vehicle is done by planning the steering angle for the front wheels and the velocity. Finally, the performance of the proposed method is tested through simulation.

Development of an Autonomous Worker-Following Transport Vehicle (I) - Manufacture and indoor experiment of the prototype vehicle - (농작업자 자동 추종 운반차 개발(I) - 시작기 제작 및 실내성능시험 -)

  • 권기영;정성림;강창호;손재룡;한길수;정석현;장익주
    • Journal of Biosystems Engineering
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    • v.27 no.5
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    • pp.409-416
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    • 2002
  • This study was conducted to develop a vehicle, leading or following a worker at a certain distance to assist laborious transporting works in greenhouses. A prototype vehicle, which consisted of the rear driving, the front steering and the console units, was designed and tested in the ideal indoor conditions. Results of this study were summarized as following: 1. The driving unit was designed to travel at the speed ranges of 0.3∼0.8 m/sec depending on the operating modes with a maximum payload of 100 kg. 2. The console unit consisted of a main-board including a 80C196KC microprocessor and peripheral devices, a power-board and safety interlock. Worker-leading, and following modes were available in automatic and manual modes. 3. Steering was achieved by turning the steering motor against the sensed direction. Proper steering angles for correcting travel direction were determined as 5 and 9 degrees when sensing cultivation beds and plants, respectively.

MPC-based Active Steering Control using Multi-rate Kalman Filter for Autonomous Vehicle Systems with Vision (비젼 기반 자율주행을 위한 다중비율 예측기 설계와 모델예측 기반 능동조향 제어)

  • Kim, Bo-Ah;Lee, Young-Ok;Lee, Seung-Hi;Chung, Chung-Choo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.5
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    • pp.735-743
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    • 2012
  • In this paper, we present model predictive control (MPC) applied to lane keeping system (LKS) based on a vision module. Due to a slow sampling rate of the vision system, the conventional LKS using single rate control may result in uncomfortable steering control rate in a high vehicle speed. By applying MPC using multi-rate Kalman filter to active steering control, the proposed MPC-based active steering control system prevents undesirable saturated steering control command. The effectiveness of the MPC is validated by simulations for the LKS equipped with a camera module having a slow sampling rate on the curved lane with the minimum radius of 250[m] at a vehicle speed of 30[m/s].