Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection

Wang, Shengzhe; Wang, Bo; Wang, Shifeng; Tang, Yifeng

doi:10.3390/s20185128

Cited by 6 publications

(3 citation statements)

References 38 publications

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“…A PIR (Passive Infrared) sensor was used to detect the presence of pedestrian movement [14,15]. This type of sensor can detect the presence of pedestrians at a distance of up to 7 m with a coverage angle of 120 0 .…”

Section: Methodsmentioning

confidence: 99%

“…The PIR sensor itself has two slots in it, each slot is made of a special material that is sensitive to IR. If the sensor is idle, both slots detect the same amount of IR, the ambient amount radiated from the room or outdoors [14,15]. In presence of human IR radiations, the sensor detects the radiations and converts them directly to electrical pulses, which are fed to the inverter circuit.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Subsystem With Ultrasonic and Passive Infrared Sensors for Pedestrian Detection

Stjepanović

Ćurguz

Kostadinovic

et al. 2022

IJEEC

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Despite the rapid development of technologies for the detection of pedestrians in traffic, there are still significant problems with automated vehicle management systems. Often these problems are caused by different external conditions, weather disasters, different light levels, day and night, and more. All these factors can affect the incorrect assessment of the system and the performed detection of the pedestrian object. Pedestrian fatalities have risen recently, even as vehicles are equipped with sophisticated avoidance technology. Vehicle-based sensors can fail to identify pedestrians especially when those pedestrians are small, too far or too close to the vehicle, or partially occluded by nearby objects. Pedestrians have variable physical characteristics and appear in a variety of environments with different background features. The paper analyzes the possibilities and problems that arise in the detection and recognition of pedestrians. Pedestrian safety is one of the important issues of traffic safety in urban areas. The application of various technologies in vehicles provides enormous opportunities to reduce accidents in which pedestrians are most often injured. The development of intelligent pedestrian recognition systems can be divided into two directions. Development of hardware part related to different types of sensors, and development of software part based on artificial neural networks and machine learning techniques. The paper analyzes various technologies used in pedestrian detection in automated vehicles with an emphasis on hardware development. A low-cost system based on two types of sensors, ultrasonic sensor and passive infrared, is proposed. Aspects of the application of such sensors with possibilities of implementation in complex computer vision systems are analyzed. The most common classes of sensors presently used in automated driving applications include visible-light cameras (VLC), light detection, and ranging (LiDAR).

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Subsystem With Ultrasonic and Passive Infrared Sensors for Pedestrian Detection

Stjepanović

Ćurguz

Kostadinovic

et al. 2022

IJEEC

View full text Add to dashboard Cite

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“…The type of sensor installed in the RSU, which meets low energy requirements, are PIR (Passive InfraRed) sensors. The two slots that make up the PIR sensor are made of IR (InfraRed) material that signals the movement of wildlife [22,23]. In the presence of IR radiation from wildlife, the sensor detects the radiation and directly converts it into electrical impulses.…”

Section: Model Of Vehicle-wildlife Collision Avoidance System On Rura...mentioning

confidence: 99%

Modeling a LoRAWAN Network for Vehicle Wildlife Collision Avoidance System on Rural Roads

Jotanovic,

Jausevac,

Perakovic

et al. 2024

Preprint

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The network of rural roads covers different types of terrain, including forest areas, pastures, arable land and sparsely populated areas. The safety of people and animals is a priority in traffic on these roads. Early detection of pedestrians, animals and other moving objects along the road can significantly reduce the risk of accidents. As part of this research, a sensor system is being developed that can detect characteristics of living things in motion, such as unexpectedly crossing the road without clear signs. Such timely detection of moving objects enables adequate preventive measures and reduces potential traffic accidents. The consequences of traffic accidents of this type can cause serious damage to animals and people property, and road infrastructure. The topicality of this problem at the spatial and seasonal level is emphasized in studies that identify the hotspots of these accidents. Factors such as traffic characteristics and road infrastructure are key to modeling protective systems on rural roads. The presented study investigates the deployment of sensor nodes and LoRAWAN gateways for wildlife detection on rural roads, with the aim of reducing the risk of traffic accidents caused by Wildlife-Vehicle Collisions.

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