1 code implementation • 24 Mar 2019 • Ye Xia, Jinkyu Kim, John Canny, Karl Zipser, David Whitney
Inspired by human vision, we propose a new periphery-fovea multi-resolution driving model that predicts vehicle speed from dash camera videos.
no code implementations • 17 Nov 2017 • Yiqi Hou, Sascha Hornauer, Karl Zipser
Deep convolutional neural networks (CNNs) have been shown to perform extremely well at a variety of tasks including subtasks of autonomous driving such as image segmentation and object classification.
2 code implementations • 17 Nov 2017 • Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney
Because critical driving moments are so rare, collecting enough data for these situations is difficult with the conventional in-car data collection protocol---tracking eye movements during driving.
no code implementations • 16 Sep 2017 • Sauhaarda Chowdhuri, Tushar Pankaj, Karl Zipser
Autonomous driving requires operation in different behavioral modes ranging from lane following and intersection crossing to turning and stopping.
no code implementations • 23 Nov 2015 • Karl Zipser
In convolutional deep neural networks, receptive field (RF) size increases with hierarchical depth.