1. Histograms of oriented gradients for human detection;Dalal,2005
2. Pedestrian detection at 100 frames per second;Gool,2012
3. Random forests of local experts for pedestrian detection;Marin,2013
4. Pedestrian detection with a large-field-of-view deep network;Angelova,2015
5. Fusing lidar and images for pedestrian detection using convolutional neural networks;Schlosser,2016