Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter
Due to the lack of wide availability of parking assisting applications, vehicles tend to cruise more than necessary to find an empty parking space. This problem is evident globally and the intensity of the problem varies based on the demand of parking spaces. It is a well-known hypothesis that the a...
Saved in:
Main Authors: | Vijay Paidi, Hasan Fleyeh, Johan Håkansson, Roger G. Nyberg |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/1812647 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cruising for Parking with Autonomous and Conventional Vehicles
by: Mehdi Nourinejad, et al.
Published: (2021-01-01) -
A Study on Deep Learning Based Parking Lot Allotment to the Vehicles
by: Aziza Algarni
Published: (2022-03-01) -
Impact Analysis of Parking Price Adjustment on the Quality of Service of Airport Parking Lots for Light Vehicles
by: Cheng Cheng, et al.
Published: (2019-01-01) -
An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter
by: Van-Truong Nguyen, et al.
Published: (2023-01-01) -
VISION AND STRATEGY REGARDING THE PARKING LOTS WITH ELEVATORS
by: Carmen Elisabeta RADU, et al.
Published: (2022-05-01)