Detection of persons in a vehicle using IR cameras and RFID technologies

Kalikova, Jana; Krčál, Jan; Koukol, Milan

doi:10.1109/scsp.2015.7181563

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Therefore, there are also noninvasive solutions to estimate the occupancy of a vehicle, and the current state is described in this section. There are already proposed systems for enhancing the eCall system [58]. The most difficult task is to detect sleeping adults and children.…”

Section: Noninvasive Occupancy Estimation Methodsmentioning

confidence: 99%

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

et al. 2023

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Passenger detection and occupancy estimation are vital tasks in many fields. The existing literature emphasises that the increasing demand for such systems will continue to grow. This paper reviews the existing literature specializing in the field of transportation safety and efficiency concerning occupancy estimation in vehicles and passenger detection at public transport stations. A comparison between different approaches to passenger estimation is presented. Discussion on the advantages and disadvantages is highlighted. Hence, this paper provides an analysis of 146 papers on the current state of the field. This review paper concludes that invasive methods provide high accuracy with relatively cheap implementation, while noninvasive systems do not violate passenger privacy but lack state-of-the-art accuracy. Future work will include a systematic literature review and a comparative analysis of systems considering the existing window tinting and solar windshields heavily blocking certain parts of the electromagnetic spectrum. Moreover, future work will investigate the critical challenges of noninvasive passenger estimation in different types of vehicles: trucks, buses, or even motorcycles.

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Section: Noninvasive Occupancy Estimation Methodsmentioning

confidence: 99%

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

et al. 2023

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“…21 Those methods will help prevent the death of hyperthermia children in vehicles and will also provide information about the drivers and passengers. Sensors such as radar, stereo camera, 21 and RF 22 have been used to achieve the purpose of human detection. The method relating to vision is based on feature extraction and feature-based matching.…”

Section: Related Workmentioning

confidence: 99%

The left-behind human detection and tracking system based on vision with multi-model fusion and microwave radar inside the bus

Liao

Xiang

Cao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Left-behind humans inside the car or bus have caused a lot of accidents, so it is essential to detect the humans in vehicle. Current human detection methods rely on wearable devices, oxygen sensors, and special seat designs in vehicles, but those sensors cannot adapt to ever-changing environments. To solve those problems and especially to improve passengers’ safety on the bus, we propose a method to accomplishing human detection by fusion vision and microwave radar information in various environments in vehicle. For vision information, we use different networks to extract human and human face features, and fusion of the detection results in different models to improve human detection accuracy. The human detection model is MobileNet-V2, and the human face detection model is MTCNN. A new matching schedule and tracking objects management rule based on the Kernelized Correlation Filter tracker are designed to track the human and human face detection boxes. The microwave radar information is used to detect moving objects. Finally, the fusion vision and microwave radar detection results are implemented. Experiments show that our method has improved the human detection accuracy in vehicle, and this method can be used for detection of left-behind children on the school bus.

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“…smartcard and/or transponder technologies(Schijns, 2004;Wood and Jones-Meyer, 2016) 5 infrared-laser-based detection and verification attempts(Artan et al, 2014(Artan et al, , 2016Ballantyne, 2006;Kalikova et al, 2015;Morris et al, 2017;Tyrer and Andrew, …”

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confidence: 99%

Carpooling and the Pan-European emergency call "eCall 112": Connected cars and their potential for environmental and transport policy

Schaefer¹

2019

IJATM

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To meet transport sector obligations to emissions reductions, large effects may be derived from intelligent transportation systems (ITS) solutions. Substantial decrease of vehicle miles travelled (VMT) can be achieved using transportation systems management (TSM) measures, especially through high-occupancy vehicles (HOV) incentives. Of these, carpooling and vanpooling approaches proved to be effective. However, there is a lack of reliable enforcement procedures. A review of automated vehicle occupancy verification (AVOV) research and development (R&D) is followed by a proposal focused on the Pan European emergency call 'eCall 112'. The concept explores options for an eCall 112 application as an enforcement tool in TSM operations with vehicle occupancy data contained in the minimum set of data (MSD) as the base for new road transport policy tools. A set of incentives is described which support transport and environmental objectives. The proposed enforcement may impact congestion levels in combination with HOV-lanes and without them. Climate, environment, and the performance of road transportation systems could benefit from integrated road safety and TSM operations.

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Detection of persons in a vehicle using IR cameras and RFID technologies

Cited by 6 publications

References 2 publications

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

Passenger Occupancy Estimation in Vehicles: A Review of Current Methods and Research Challenges

The left-behind human detection and tracking system based on vision with multi-model fusion and microwave radar inside the bus

Carpooling and the Pan-European emergency call "eCall 112": Connected cars and their potential for environmental and transport policy

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