Positioning Algorithm

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 34116 Experts worldwide ranked by ideXlab platform

Hanxiao Rong - One of the best experts on this subject based on the ideXlab platform.

  • a low cost civil vehicular seamless navigation technology based on enhanced riss gps between the outdoors and an underground garage
    Electronics, 2020
    Co-Authors: Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, Hanxiao Rong
    Abstract:

    Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate Positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different Positioning methods, and it is of great importance to choose a reasonable navigation and Positioning Algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation Algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a Positioning Algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.

Lianwu Guan - One of the best experts on this subject based on the ideXlab platform.

  • a low cost civil vehicular seamless navigation technology based on enhanced riss gps between the outdoors and an underground garage
    Electronics, 2020
    Co-Authors: Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, Hanxiao Rong
    Abstract:

    Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate Positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different Positioning methods, and it is of great importance to choose a reasonable navigation and Positioning Algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation Algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a Positioning Algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.

Ye Wang - One of the best experts on this subject based on the ideXlab platform.

  • a low cost civil vehicular seamless navigation technology based on enhanced riss gps between the outdoors and an underground garage
    Electronics, 2020
    Co-Authors: Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, Hanxiao Rong
    Abstract:

    Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate Positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different Positioning methods, and it is of great importance to choose a reasonable navigation and Positioning Algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation Algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a Positioning Algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.

Yanbin Gao - One of the best experts on this subject based on the ideXlab platform.

  • a low cost civil vehicular seamless navigation technology based on enhanced riss gps between the outdoors and an underground garage
    Electronics, 2020
    Co-Authors: Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, Hanxiao Rong
    Abstract:

    Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate Positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different Positioning methods, and it is of great importance to choose a reasonable navigation and Positioning Algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation Algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a Positioning Algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.

Zhejun Liu - One of the best experts on this subject based on the ideXlab platform.

  • a low cost civil vehicular seamless navigation technology based on enhanced riss gps between the outdoors and an underground garage
    Electronics, 2020
    Co-Authors: Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, Hanxiao Rong
    Abstract:

    Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate Positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different Positioning methods, and it is of great importance to choose a reasonable navigation and Positioning Algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation Algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a Positioning Algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.