Early Detection of Vacant Parking Spaces Using Dashcam Videos

Wu, Margaret; Yeh, Mei-Chen

doi:10.1609/aaai.v33i01.33019613

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…point clouds from LiDAR sensors). We assume this requirement is reasonably satisfied based on reported mechanisms for on-board detection of parking availability [11,12].…”

Section: Sptoken For Smart Parkingmentioning

confidence: 99%

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Spatial Positioning Token (SPToken) for Smart Mobility

Overko

Ordóñez-Hurtado

Zhuk

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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In this paper, we describe an approach to guide drivers searching for a parking space (PS). The proposed system suggests a sequence of routes that drivers should traverse in order to maximise the expected likelihood of finding a PS and minimise the travel distance. This system is built on our recent architecture SPToken, which combines both Distributed Ledger Technology (DLT) and Reinforcement Learning (RL) to realise a system for the estimation of an unknown distribution without disturbing the environment. For this, we use a number of virtual tokens that are passed from vehicle to vehicle to enable a massively parallelised RL system that estimates the best route for a given origin-destination (OD) pair, using crowdsourced information from participant vehicles. Additionally, a moving window with reward memory mechanism is included to better cope with non-stationary environments. Simulation results are given to illustrate the efficacy of our system.

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“…point clouds from LiDAR sensors). We assume this requirement is reasonably satisfied based on reported mechanisms for on-board detection of parking availability [11,12].…”

Section: Sptoken For Smart Parkingmentioning

confidence: 99%

“…However, PSA is subject to real-time measurements (e.g. obtained via [11,12]). w s is the state weight if the agent would transit from state s to state s in which all the on-street parking stops are treated as available.…”

mentioning

confidence: 99%

Spatial Positioning Token (SPToken) for Smart Mobility

Overko

Ordóñez-Hurtado

Zhuk

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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“…For example, if one parking lot has a surveillance system installed to monitor available parking spots in real time, then connected vehicles can communicate with the surveillance system to capture information about the number and location of available spots and the arrival and departure rates (12). If there is no surveillance system, or there is a lot of street parking, the connected vehicle can utilize its own sensors, such as camera, lidar, and so forth, to detect the available spots (13)(14)(15)(16). The information can also be shared with the other connected vehicles via direct vehicle-to-vehicle communication, cellular vehicle to everything (V2X), and so forth.…”

Section: System Developmentmentioning

confidence: 99%

Dynamic Vehicle Routing with Parking Probability under Connected Environment

Yang

Oguchi

2021

Transportation Research Record: Journal of the Transportation R

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In downtown areas of large cities, it is very challenging for drivers to find available parking spots, even when they are provided with information on parking availability and location information. To overcome this challenge, this paper develops a dynamic vehicle routing system to search for the optimal routes for connected vehicles to find parking spots successfully and to minimize total trip time, including driving time and walking time. The system predicts the probability of each parking lot having available parking spots based on the existing available number of spots and the vehicle arrival and departure rates collected by connected vehicles. This probability is integrated in the search for vehicle routes to minimize total travel and walking times. Numerical experiments indicate that the proposed system can reduce the cruising time spent searching for available parking spots, and the total trip time can be reduced by up to 24%. In addition, the system can decrease the number of re-routing decisions, which reduces the stress of drivers on the road. A sensitivity analysis of the parking probability is also conducted. Some future work based on the proposed system is proposed in the conclusion to this paper.

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“…When the parking lot is crowded with cars and pedestrians, the situation is hazardous. By promptly providing drivers accurate information about the availability of parking spaces, an intelligent parking guidance system can reduce some of this hassle [2]. In the era of self-driving cars, the vehicle should be capable of searching for parking spots on its own, and parking slot identification should then work to locate a parking slot precisely [3].…”

Section: Introductionmentioning

confidence: 99%

A Review of Parking Slot Types and their Detection Techniques for Smart Cities

Kumar,

Singh,

Raja

et al. 2023

Smart Cities

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Smart parking system plays a critical role in the overall development of the cities. The capability to precisely detect an open parking space nearby is necessary for autonomous vehicle parking for smart cities. Finding parking spaces is a big issue in big cities. Many of the existing parking guidance systems use fixed IoT sensors or cameras that are unable to offer information from the perspective of the driver. Accurately locating parking spaces can be difficult since they come in a range of sizes and colors that are blocked by objects that seem different depending on the environmental lighting. There are numerous auto industry players engaged in the advanced testing of driverless cars. A vacant parking space must be found, and the car must be directed to park there in order for the operation to succeed. The machine learning-based algorithms created to locate parking spaces and techniques and methods utilizing dashcams and fish-eye cameras are reviewed in this study. In response to the increase in dashcams, neural network-based techniques are created for identifying open parking spaces in dashcam videos. The paper proposed the review of the existing parking slot types and their detection techniques. The review will highlight the importance and scope of a smart parking system for smart cities.

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Early Detection of Vacant Parking Spaces Using Dashcam Videos

Cited by 8 publications

References 21 publications

Spatial Positioning Token (SPToken) for Smart Mobility

Spatial Positioning Token (SPToken) for Smart Mobility

Dynamic Vehicle Routing with Parking Probability under Connected Environment

A Review of Parking Slot Types and their Detection Techniques for Smart Cities

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