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Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving

Publication ,  Conference
Sun, P; Boukerche, A
Published in: Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019
November 1, 2019

In recent years, aiming to improve deriving safety and supporting autonomous driving, pedestrian detection has attracted considerable attention from both industry and academic. Moreover, by taking advantage of the powerful computational capacity of GPU and high-level feature learning ability of the deep convolutional neural network, tremendous image/video-based pedestrian detection methods have been proposed. However, most of the existing approaches are designed relying on the computer vision-based target detection techniques. Accordingly, the evaluation criteria they consider in the design are often from the computer vision research field. Therefore, these existing methods tend to focus on the improvement of accuracy and ignore some of the special requirements that need to be considered in the field of autonomous driving. In this paper, we will analyze and summarize the features of the state-of-the-art pedestrian detection methods in detail. Then, by considering the practical application scenarios of autonomous driving techniques, we further discuss the open challenges of designing a practical pedestrian detection method for supporting autonomous deriving.

Duke Scholars

Published In

Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

DOI

ISBN

9781728146010

Publication Date

November 1, 2019

Start / End Page

28 / 36
 

Citation

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Sun, P., & Boukerche, A. (2019). Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving. In Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019 (pp. 28–36). https://doi.org/10.1109/MASS.2019.00013
Sun, P., and A. Boukerche. “Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving.” In Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019, 28–36, 2019. https://doi.org/10.1109/MASS.2019.00013.
Sun P, Boukerche A. Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving. In: Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019. 2019. p. 28–36.
Sun, P., and A. Boukerche. “Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving.” Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019, 2019, pp. 28–36. Scopus, doi:10.1109/MASS.2019.00013.
Sun P, Boukerche A. Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving. Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019. 2019. p. 28–36.

Published In

Proceedings - 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2019

DOI

ISBN

9781728146010

Publication Date

November 1, 2019

Start / End Page

28 / 36