Characterization setup for event-based imagers applied to modulated light signal detection

Joubert, Damien; Hébert, Mathieu; Konik, Hubert; Lavergne, Christophe

doi:10.1364/ao.58.001305

Cited by 17 publications

(11 citation statements)

References 27 publications

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“…The pixel is then quicker to react when the amplitude of the contrast increases, which is similar to the response of a real DVS pixel (Joubert et al, 2019). Interpolating the light flux between F(t) and F(t + dt) also allows for the creation of intermediate events during dt if the contrast change is large enough.…”

Section: Existing Dvs Simulatorsmentioning

confidence: 66%

“…Increasing the number of pixels simulated per time step increases the latency added by the arbiter (Joubert et al, 2019 ). With n u ( t ) representing the number of events accumulated before the arbiter at the time t , the latency of the arbiter is given by the relation l AER ( t ) = n u ( t ) l AER (0) where l AER (0) is the latency of the arbiter to process one event.…”

Section: Simulating An Event-based Neuromorphic Pixelmentioning

confidence: 99%

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Event Camera Simulator Improvements via Characterized Parameters

et al. 2021

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It has been more than two decades since the first neuromorphic Dynamic Vision Sensor (DVS) sensor was invented, and many subsequent prototypes have been built with a wide spectrum of applications in mind. Competing against state-of-the-art neural networks in terms of accuracy is difficult, although there are clear opportunities to outperform conventional approaches in terms of power consumption and processing speed. As neuromorphic sensors generate sparse data at the focal plane itself, they are inherently energy-efficient, data-driven, and fast. In this work, we present an extended DVS pixel simulator for neuromorphic benchmarks which simplifies the latency and the noise models. In addition, to more closely model the behaviour of a real pixel, the readout circuitry is modelled, as this can strongly affect the time precision of events in complex scenes. Using a dynamic variant of the MNIST dataset as a benchmarking task, we use this simulator to explore how the latency of the sensor allows it to outperform conventional sensors in terms of sensing speed.

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Section: Existing Dvs Simulatorsmentioning

confidence: 66%

Section: Simulating An Event-based Neuromorphic Pixelmentioning

confidence: 99%

Event Camera Simulator Improvements via Characterized Parameters

et al. 2021

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“…Although its use reduces certain aspects, sometimes the changes in the light of an LED are seen by the human eye when the luminescence exceeds the threshold of 200 Hz, a threshold considered safe [36]. Another aspect is that data are encoded and used to modulate the LED light at much higher frequencies than a camera could detect; thus there is the option of using the application that uses the front area where there is a photoreceptor [37][38][39].…”

Section: The Contribution Of Optical Camera Communications In the Processes Of Information Transmissionmentioning

confidence: 99%

Analysis and Experiment of Wireless Optical Communications in Applications Dedicated to Mobile Devices with Applicability in the Field of Road and Pedestrian Safety

Zadobrischi

2022

Sensors

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Current developments and the need for high-performance devices that provide safe and reliable communications present a future perspective by using visible light as an alternative solution that can substantially improve road and pedestrian safety. The daily use of smartphones is imperative; thus one can build on this premise a system dedicated to the aforementioned problem. However, the problem of the visible light communication channel (VLC) is highly dynamic and becomes extremely unpredictable in terms of exposure to noise sources. Developing applications dedicated to direct communications with infrastructure and vehicles using portable devices is becoming a challenge and at the same time a necessary solution. The article proposes the shaping of an emission–reception architecture dedicated to adaptive fuse light communications using OCC (optical camera communication) but also standard VLC communications using ambient light sensors via an Android application. This approach aims to provide a first step in shaping information-sharing applications using VLC communications. As far as we know, this approach has not been implemented in external VLC systems. The performance of the architecture and the application was demonstrated by practical tests that confirmed the capacity of the technology even if we are in the first stage.

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“…Hence, the sampling time should be tuned accordingly and gives a synchronous process. Zou et al [160] use adaptive accumulation time (making the method asynchronous), Rebecq et al [161] use overlapping pairs of time windows, and Joubert et al [162] combine time windows of different lengths. The study [163] contains a performance analysis of various time window durations for a classification task.…”

Section: Data Representation and Processingmentioning

confidence: 99%

Unconventional Visual Sensors for Autonomous Vehicles

Li¹,

Moreau²,

Ibañez‐Guzmán³

2022

Preprint

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Autonomous vehicles rely on perception systems to understand their surroundings for further navigation missions. Cameras are essential for perception systems due to the advantages of object detection and recognition provided by modern computer vision algorithms, comparing to other sensors, such as LiDARs and radars. However, limited by its inherent imaging principle, a standard RGB camera may perform poorly in a variety of adverse scenarios, including but not limited to: low illumination, high contrast, bad weather such as fog/rain/snow, etc. Meanwhile, estimating the 3D information from the 2D image detection is generally more difficult when compared to LiDARs or radars. Several new sensing technologies have emerged in recent years to address the limitations of conventional RGB cameras. In this paper, we review the principles of four novel image sensors: infrared cameras, range-gated cameras, polarization cameras, and event cameras. Their comparative advantages, existing or potential applications, and corresponding data processing algorithms are all presented in a systematic manner. We expect that this study will assist practitioners in the autonomous driving society with new perspectives and insights.

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Characterization setup for event-based imagers applied to modulated light signal detection

Cited by 17 publications

References 27 publications

Event Camera Simulator Improvements via Characterized Parameters

Event Camera Simulator Improvements via Characterized Parameters

Analysis and Experiment of Wireless Optical Communications in Applications Dedicated to Mobile Devices with Applicability in the Field of Road and Pedestrian Safety

Unconventional Visual Sensors for Autonomous Vehicles

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