Parking Lot Exploration Strategy

Ádám, Anna Barbara; Kocsany, Laszlo; Szadeczky-Kardoss, Emese Gincsaine; Tihanyi, Viktor

doi:10.1109/cinti-macro49179.2019.9105160

Cited by 2 publications

(2 citation statements)

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“…The second subsystem is a detector subsystem. The main task is to scan the environment and detect parking spaces for the vehicle while the vehicle is driving along the exploration path [3]. In order to be able to detect parking spaces, a sensor must be mounted on the vehicle.…”

Section: Parking Assistant Systemsmentioning

confidence: 99%

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Using coverage path planning methods for car park exploration

Ádám¹,

Kocsany²,

Szadeczky-Kardoss³

2021

ACTA IMEKO

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With the increasing number of vehicles on the roads, finding a free parking space has become a time-consuming problem. Traditional car parks are not equipped with occupancy sensors, so planning a systematic traversal of a car park can ease and shorten the search. Since car park exploration is similar to coverage path planning (CPP) problems, the core concepts of CPP algorithms can be used. This paper presents a method that divides maps into smaller cells using trapezoidal cell decomposition and then plans the traversal using wavefront algorithm core concepts. This method can be used for multi-storey car parks by planning the traversal of each floor separately and then the path from one floor to the next. Several alternative explorational paths can be generated by taking different personal preferences into account, such as the length of the driven route and the proximity to preferred locations. The planned traversals are compared by step number, the cell visitedness ratio, the number of visits to each cell and the cost function. The comparison of the methods is based on simulation results.

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Section: Parking Assistant Systemsmentioning

confidence: 99%

“…Autonomous vehicles are able to detect the free parking spaces with sensors installed in the vehicle (e.g. LiDAR [3]). As the coverage path planning (CPP) problem is similar to the car park exploration problem, the core concepts of CPP algorithms can be used.…”

Section: Introductionmentioning

confidence: 99%