Multimodal Fusion Architectures for Pedestrian Detection
Dayan Guan⁎,†; Jiangxin Yang⁎,†; Yanlong Cao⁎,†; Michael Ying Yang‡; Yanpeng Cao⁎,† ⁎State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China†Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, School of Mechanical Engineering, Zhejiang University, Hangzhou, China‡Scene Understanding Group, University of Twente, Enschede, The Netherlands
Abstract
Pedestrian detection provides a crucial functionality in many human-centric applications, such as video surveillance, urban scene analysis, and autonomous driving. Recently, multimodal pedestrian detection has received extensive attention ...
Get Multimodal Scene Understanding now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
