Retina-inspired Visual Module for Robot Navigation in Complex Environments

Lehnert, Hans; Escobar, María-José; Araya, Mauricio

doi:10.1109/ijcnn.2019.8851896

Cited by 5 publications

(6 citation statements)

References 23 publications

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“…This efficient coding heuristic has inspired many recent studies in developing biologically inspired systems, both for static image and motion representations [ 59 , 87 , 90 ]. Two major applications of biologically inspired vision systems are retinal prostheses [ 53 , 63 , 79 ] and navigational robotics [ 24 , 52 ]. Focusing on the second field of application, the ability of a mobile device to navigate in its environment is of utmost interest, especially in order to avoid dangerous situations such as collisions.…”

Section: Discussionmentioning

confidence: 99%

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On the potential role of lateral connectivity in retinal anticipation

Souihel

Cessac

2021

J. Math. Neurosc.

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We analyse the potential effects of lateral connectivity (amacrine cells and gap junctions) on motion anticipation in the retina. Our main result is that lateral connectivity can—under conditions analysed in the paper—trigger a wave of activity enhancing the anticipation mechanism provided by local gain control (Berry et al. in Nature 398(6725):334–338, 1999; Chen et al. in J. Neurosci. 33(1):120–132, 2013). We illustrate these predictions by two examples studied in the experimental literature: differential motion sensitive cells (Baccus and Meister in Neuron 36(5):909–919, 2002) and direction sensitive cells where direction sensitivity is inherited from asymmetry in gap junctions connectivity (Trenholm et al. in Nat. Neurosci. 16:154–156, 2013). We finally present reconstructions of retinal responses to 2D visual inputs to assess the ability of our model to anticipate motion in the case of three different 2D stimuli.

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Section: Discussionmentioning

confidence: 99%

“…when t → ∞ and x → +∞. This divergence is a consequence of the limit δ G → 0 in (52). follows the stimulus but is attenuated by a factor α 1+α .…”

Section: Mathematical Studymentioning

confidence: 98%

On the potential role of lateral connectivity in retinal anticipation

Souihel

Cessac

2021

J. Math. Neurosc.

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“…In turn, the research in [ 14 , 15 ] shows that, with the support of retinal bioinspired models, Reinforcement Learning (RL) methods become fast and reliable for decision-making.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, when implementing, the environment’s lighting must be considered to achieve the best possible image with details to process. Different investigations indicate that attacking a problem from a bioinspired point of view allows improving overall results, as in the case of [ 14 , 15 ] which apply a bioinspired model for processing environmental images so that an unmanned vehicle trained with reinforcement learning can move and obtain better overall performance compared to traditional training.…”

Section: Introductionmentioning

confidence: 99%

Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture

Urrea,

Kern,

Navarrete

2023

Sensors

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This work addresses the design and implementation of a novel PhotoBiological Filter Classifier (PhBFC) to improve the accuracy of a static sign language translation system. The captured images are preprocessed by a contrast enhancement algorithm inspired by the capacity of retinal photoreceptor cells from mammals, which are responsible for capturing light and transforming it into electric signals that the brain can interpret as images. This sign translation system not only supports the effective communication between an agent and an operator but also between a community with hearing disabilities and other people. Additionally, this technology could be integrated into diverse devices and applications, further broadening its scope, and extending its benefits for the community in general. The bioinspired photoreceptor model is evaluated under different conditions. To validate the advantages of applying photoreceptors cells, 100 tests were conducted per letter to be recognized, on three different models (V1, V2, and V3), obtaining an average of 91.1% of accuracy on V3, compared to 63.4% obtained on V1, and an average of 55.5 Frames Per Second (FPS) in each letter classification iteration for V1, V2, and V3, demonstrating that the use of photoreceptor cells does not affect the processing time while also improving the accuracy. The great application potential of this system is underscored, as it can be employed, for example, in Deep Learning (DL) for pattern recognition or agent decision-making trained by reinforcement learning, etc.

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“…This efficient coding heuristic has inspired many recent studies in developing biologically inspired systems, both for static image and motion representations [52,80,82]. Two major applications of biologically inspired vision systems are retinal prostheses [46,56,72] and navigational robotics [21,45]. Focusing on the second field of application, the ability of a mobile device to navigate in its environment is of utmost interest, especially in order to avoid dangerous situations such as collisions.…”

Section: Biologically Inspired Vision Systemsmentioning

confidence: 99%

On the potential role of lateral connectivity in retinal anticipation

Souihel¹,

Cessac²

2020

Preprint

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We analyse the potential effects of lateral connectivity (amacrine cells and gap junctions) on motion anticipation in the retina. Our main result is that lateral connectivity can -under conditions analysed in the paper -trigger a wave of activity enhancing the anticipation mechanism provided by local gain control [8,17]. We illustrate these predictions by two examples studied in the experimental literature: differential motion sensitive cells [1] and direction sensitive cells where direction sensitivity is inherited from asymmetry in gap junctions connectivity [73]. We finally present reconstructions of retinal responses to 2D visual inputs to assess the ability of our model to anticipate motion in the case of three different 2D stimuli.

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Retina-inspired Visual Module for Robot Navigation in Complex Environments

Cited by 5 publications

References 23 publications

On the potential role of lateral connectivity in retinal anticipation

On the potential role of lateral connectivity in retinal anticipation

Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture

On the potential role of lateral connectivity in retinal anticipation

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