Advanced support scheme for precision manoeuvres for coach and articulated city buses (Q83982): Difference between revisions

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(‎Changed an Item: Fixing rounding issue)
(‎Removed claim: summary (P836): Electric urban buses are increasingly popular as they have a reduced environmental impact.The handicap of electric power is limited by the capacity of the batteries and the long charging of batteries.Therefore, energy saving methods are being sought in order to extend the scope/time of the operation of the coach.One of the more energy-intensive operations is dock docking and manoeuvres on the depots.Errors by the steering control require braki...)
Property / summary
Electric urban buses are increasingly popular as they have a reduced environmental impact.The handicap of electric power is limited by the capacity of the batteries and the long charging of batteries.Therefore, energy saving methods are being sought in order to extend the scope/time of the operation of the coach.One of the more energy-intensive operations is dock docking and manoeuvres on the depots.Errors by the steering control require braking and costly acceleration.The driver shall also lose his time on unproductive tasks — no passengers on board.In order to reduce mistakes during precision manoeuvres and thus the extension of the scale of the bus and more efficient use of the driver’s working time, a support system is needed.This requires the construction of an advanced system for mapping the environment and location of the bus and detection of the dynamic barrier & rest;pedestrians.A further indispensable element is the planning and control algorithms that build on the perception data, enable the driver to be accurately informed of the shares they should take in order to complete the tasks of docking and parking.The driver shall also require an intuitive and discreet way to receive guidance on the action to be taken by the driver.In our project we are building a system of self-localisation and a map with dynamic obstacle detection, supported by continuous environmental learning mechanisms to allow for year-round operation of the bus.In addition, we will develop the planning and control procedures for single and more importantly multi-segmental buses.Information on the system of perception and processed by the planning and control algorithms shall be communicated to the driver in the form of discrete control instructions using the newly developed interface of the elbow interface. (English)
 
Property / summary: Electric urban buses are increasingly popular as they have a reduced environmental impact.The handicap of electric power is limited by the capacity of the batteries and the long charging of batteries.Therefore, energy saving methods are being sought in order to extend the scope/time of the operation of the coach.One of the more energy-intensive operations is dock docking and manoeuvres on the depots.Errors by the steering control require braking and costly acceleration.The driver shall also lose his time on unproductive tasks — no passengers on board.In order to reduce mistakes during precision manoeuvres and thus the extension of the scale of the bus and more efficient use of the driver’s working time, a support system is needed.This requires the construction of an advanced system for mapping the environment and location of the bus and detection of the dynamic barrier & rest;pedestrians.A further indispensable element is the planning and control algorithms that build on the perception data, enable the driver to be accurately informed of the shares they should take in order to complete the tasks of docking and parking.The driver shall also require an intuitive and discreet way to receive guidance on the action to be taken by the driver.In our project we are building a system of self-localisation and a map with dynamic obstacle detection, supported by continuous environmental learning mechanisms to allow for year-round operation of the bus.In addition, we will develop the planning and control procedures for single and more importantly multi-segmental buses.Information on the system of perception and processed by the planning and control algorithms shall be communicated to the driver in the form of discrete control instructions using the newly developed interface of the elbow interface. (English) / rank
Normal rank
 

Revision as of 14:26, 14 October 2020

Project in Poland financed by DG Regio
Language Label Description Also known as
English
Advanced support scheme for precision manoeuvres for coach and articulated city buses
Project in Poland financed by DG Regio

    Statements

    country
    Poland
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    EU contribution
    3,848,181.56 zloty
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    923,563.57 Euro
    exchange rate to Euro
    0.24 Euro
    point in time
    13 January 2020
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    budget
    4,838,471.56 zloty
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    1,161,233.17 Euro
    exchange rate to Euro
    0.24 Euro
    point in time
    13 January 2020
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    co-financing rate
    79.53 percent
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    start time
    1 April 2018
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    end time
    31 March 2021
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    beneficiary name (string)
    POLITECHNIKA POZNAŃSKA
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    summary
    Elektryczne autobusy miejskie są coraz bardziej popularne, gdyż mają obniżony wpływ na środowisko naturalne. Niedogodnością napędu elektrycznego jest ograniczona pojemność baterii i długie ich ładowanie. Dlatego poszukiwane są metody zaoszczędzenia energii w celu wydłużenia zasięgu/czasu pracy autobusu. Jedną z bardziej energochłonnych operacji jest dokowanie pod ładowarką i manewry na zajezdni. Błędy popełniane przez kierowce wymagają hamowania i kosztownego przyśpieszania. Kierowca traci także swój czas na nieproduktywnych zadaniach - brak pasażerów na pokładzie. W celu zmniejszenia pomyłek podczas precyzyjnych manewrów, a przez to wydłużenia zasięgu autobusu i bardziej efektywnego wykorzystania czasu pracy kierowcy, potrzebny jest system wspomagania. Wymaga to budowy zaawansowanego systemu percepcji do mapowania otoczenia i lokalizacji autobusu i detekcji przeszkód dynamicznych – pieszych. Kolejnym nieodzownym elementem są algorytmy planowania i sterowania, które bazując na danych z percepcyjnych, umożliwiają precyzyjne informowanie kierowcy o akcjach jakie powinien podjąć w celu udanego zakończenia zadań dokowania i parkowania. Kierowca potrzebuje także intuicyjnego i dyskretnego sposobu otrzymywania wskazówek o akcjach jakie powinien podjąć by wykonać dany manewr. W naszym projekcie, zbudujemy system jednoczesnej samolokalizacji i budowy mapy z detekcją przeszkód dynamicznych, wsparty mechanizmami ciągłego uczenia się środowiska, aby umożliwić całoroczną eksploatację autobusu. Ponadto rozwiniemy procedury planowania i sterowania dla autobusów jedno-, i co ważniejsze, wielo-segmentowych. Informacja z systemu percepcji i przetworzona przez algorytmy planowania i sterowania będzie przekazana kierowcy w postaci dyskretnych wskazówek sterowania z wykorzystaniem nowo opracowanego interfejsu człow (Polish)
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    Identifiers

    Polish Kohesio ID
    POIR.04.01.02-00-0081/17
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