MITSUBISHI OPTIMUM NAVIGATION PLANNING SYSTEM TONAC-N2.

被引:0
|
作者
Anon
机构
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
In the navigation department of Mitsubishi Heavy Industries, Japan, fuel-saving effects in various functions have been studied (with respect to navigation plans, route tracking, course keeping, and steering), and the results have been incorporated in the development of a comprehensive navigation system. This system is composed of the Mitsubishi Optimum Navigation Planning System (TONAC-N2), Fuel Saving Autopilot (TONAC-P1), and Fuel Saving Steering Engine. TONAC-N2 is a system for optimum route planning and route analysis on the basis of navigational information from satellite navigation systems and various sensors, and the weather data stored in the memory, which has a microcomputer in its core.
引用
收藏
页码:73 / 75
相关论文
共 50 条
  • [31] AN OPTIMUM CRITERION FOR 2×n SCHEDULING PROBLEM
    林诒勋
    A Monthly Journal of Science, 1982, (01) : 123 - 124
  • [32] An integrated system for planning, navigation and robotic assistance for skull base surgery
    Xia, Tian
    Baird, Clint
    Jallo, George
    Hayes, Kathryn
    Nakajima, Nobuyuki
    Hata, Nobuhiko
    Kazanzides, Peter
    INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2008, 4 (04): : 321 - 330
  • [33] Robust Navigation Mobile Robot System Design with Dynamic Path Planning
    Chou, Li-Hsiang
    Huang, Wen-Hung
    Kang, Yu-Ming
    Feng, Hsuan-Ming
    Wong, Ching-Chang
    2018 INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS), 2018,
  • [34] An integrated system for planning, navigation and robotic assistance for mandible reconstruction surgery
    XiangZhan Kong
    XingGuang Duan
    YongGui Wang
    Intelligent Service Robotics, 2016, 9 : 113 - 121
  • [35] A Two-Stage Path Planning Engine for Robot Navigation System
    Hsu, Yu-En
    Liao, Yen-Chin
    Chang, Hsie-Chia
    34TH IEEE INTERNATIONAL SYSTEM ON CHIP CONFERENCE (SOCC), 2021, : 218 - 223
  • [36] Is artificial intelligence a trustworthy route navigation system for smart urban planning?
    Kourtit, Karima
    Nijkamp, Peter
    Osth, John
    Turk, Umut
    EASTERN JOURNAL OF EUROPEAN STUDIES, 2024, 15 (02) : 30 - 47
  • [37] Algorithm based on Layering Search to Routes Planning of Vehicle Navigation System
    He, Xiong
    Gao, Yiyang
    Chen, Tao
    GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS II, 2012, 214 : 749 - +
  • [38] AUTONOMOUS CROSS-COUNTRY NAVIGATION - AN INTEGRATED PERCEPTION AND PLANNING SYSTEM
    OLIN, KE
    TSENG, DY
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1991, 6 (04): : 16 - 32
  • [39] Research on optimal path planning technology for vehicle positioning and navigation system
    Yan Y.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [40] A Path Planning and Navigation Control System Design for Driverless Electric Bus
    Yu, Lingli
    Kong, Decheng
    Shao, Xuanya
    Yan, Xiaoxin
    IEEE ACCESS, 2018, 6 : 53960 - 53975