Pedestrian detection with a Large-Field-Of-View deep network

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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016, neutral): “com sequence prediction [47], move selection for Go [34], pedestrian detection [2], reinforcement learning [38], and other areas [17, 5].”
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not (2016, methodology): “The same strategy was used for pedestrian detection for autonomous cars (Angelova et al., 2015a; Chen et al., 2016c; Angelova et al., 2015b).”
Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos (2017, background): “[22] present a large field of view deep network”
All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles (2016, background): “Recent developments such as (Sadeghi and Forsyth, 2014), (Angelova et al., 2015), and (Cai et al., 2015) have demonstrated real-time implementation by intelligently selecting regions of interest for processing and by utilizing GPU acceleration for DPM implementation.”