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Communication Dans Un Congrès Année : 2016

Improving Robot Reactivity to Passers-by with a Faster People Detector

Résumé

Perceptual systems deployed in embedded intelligent systems are handicapped with limited computation resources. As a result, they require explicit computation time consideration during design time. In this paper, we investigate the impact a visual person detector explicitly optimized to minimize computational time has on an exemplar robotic application – navigation in human shared environments. The experimental results attest the improved perceptual frame rate leads to significant improvements in vision system performance and robotic mission success rate.
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Dates et versions

hal-01296641 , version 1 (01-04-2016)

Identifiants

  • HAL Id : hal-01296641 , version 1

Citer

Alhayat Ali Mekonnen, Frédéric Lerasle, Ariane Herbulot. Improving Robot Reactivity to Passers-by with a Faster People Detector. 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016), ACM; IEEE, Mar 2016, Christchurch, New Zealand. pp.477-478. ⟨hal-01296641⟩
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