Creating a Bird-Eye View Map

Fusing Bird View LIDAR Point Cloud and Front View Camera Image for Deep Object Detection

We propose a new method for fusing a LIDAR point cloud and camera-captured images in the deep convolutional neural network (CNN). The proposed method constructs a new layer called non-homogeneous pooling layer to transform features between bird view map and front view map. The sparse LIDAR point cloud is used to construct the mapping between the two maps. The pooling layer allows efficient fusi...

Identifying Free Space in a Robot Bird-Eye View

Free space detection based on visual clues is an upcoming approach in robotics. Our working domain is the Virtual Rescue League of the RoboCup. In this domain efficient obstacle avoidance is crucial to find victims under challenging conditions. In this study a machine-learning approach is applied to distinguish the difference in visual appearance of obstacles and free space. Omnidirectional cam...

A bird\'s-eye view to Urmia Medical Journal, 2016-2019: an update

Dear editor Periodical assessment and monitoring of journal statistics by editor in chief and other related editorial board  bring important insight to determine the quality of scientific production process and provide detail if a journal is paving the way to  join the mainstream internationally recognized indexing databases such as ISI [www.webofknowledge.com], Medline [www.Pubmed.org] and Sc...

Chapter 2 Bird ’ s - Eye View

Bag of MFCC-based Words for Bird Identification

The algorithm used by the authors in the bird identification task of LifeCLEF 2016 consists in creating a dictionary of MFCC-based words using k-means clustering, computing histograms of these words over short audio segments and feeding them to a random forest classifier. The official score achieved is 0.15 MAP.