TY - GEN
T1 - Bio-inspired perception sensor (BIPS) concept analysis for embedded applications
AU - Sarrabezolles, Louise
AU - Manzanera, Antoine
AU - Hueber, Nicolas
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The Bio-inspired Perception Sensor (BIPS) component is a small and low power bio-inspired on-chip device which has been used in different computer vision applications (traffic analysis, driving assistance, object tracking). It caught the attention of the embedded vision community, since its specifications could help overcoming the time, size, weight and energy bottlenecks that still limits the current development of computer vision systems. For a long time, the lack of mathematical and algorithmic models of the component has prevented it to spread among the research community. But the recent formalization of BIPS basic functions and mechanisms has allowed to develop numerical models and simulators, in order to better evaluate the advantages and limitations of the concept. In this paper, we experimentally address the generalization capability of the BIPS concept, by evaluating it on the road lane detection application. This allows to illustrate how its parameters can be adapted for a specific vision task. This approach permits to automatically instantiate the main parameters, which stabilizes the system output and improves its performance. The obtained results reach the level of the caltech-lanes reference.
AB - The Bio-inspired Perception Sensor (BIPS) component is a small and low power bio-inspired on-chip device which has been used in different computer vision applications (traffic analysis, driving assistance, object tracking). It caught the attention of the embedded vision community, since its specifications could help overcoming the time, size, weight and energy bottlenecks that still limits the current development of computer vision systems. For a long time, the lack of mathematical and algorithmic models of the component has prevented it to spread among the research community. But the recent formalization of BIPS basic functions and mechanisms has allowed to develop numerical models and simulators, in order to better evaluate the advantages and limitations of the concept. In this paper, we experimentally address the generalization capability of the BIPS concept, by evaluating it on the road lane detection application. This allows to illustrate how its parameters can be adapted for a specific vision task. This approach permits to automatically instantiate the main parameters, which stabilizes the system output and improves its performance. The obtained results reach the level of the caltech-lanes reference.
KW - Bio-inspired
KW - Embedded vision
KW - Road lane detection
U2 - 10.1007/978-3-030-13469-3_50
DO - 10.1007/978-3-030-13469-3_50
M3 - Conference contribution
AN - SCOPUS:85063049516
SN - 9783030134686
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 428
EP - 435
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Proceedings
A2 - Vera-Rodriguez, Ruben
A2 - Fierrez, Julian
A2 - Morales, Aythami
PB - Springer Verlag
T2 - 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018
Y2 - 19 November 2018 through 22 November 2018
ER -