DARPA Grand Challenge

The DARPA Grand Challenge is a prize competition for American autonomous vehicles, funded by the Defense Advanced Research Projects Agency, the most prominent research organization of the United States Department of Defense. Congress has authorized DARPA to award cash prizes to further DARPA's mission to sponsor revolutionary, high-payoff research that bridges the gap between fundamental discoveries and military use. The initial DARPA Grand Challenge in 2004 was created to spur the development of technologies needed to create the first fully autonomous ground vehicles capable of completing a substantial off-road course within a limited time. The third event, the DARPA Urban Challenge in 2007, extended the initial Challenge to autonomous operation in a mock urban environment. The 2012 DARPA Robotics Challenge, focused on autonomous emergency-maintenance robots, and new Challenges are still being conceived. The DARPA Subterranean Challenge was tasked with building robotic teams to aut

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CS-442: Computer vision

Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors. We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability.

DeconvolutionLab2: An Open-Source Software for Deconvolution Microscopy

Laurène Donati, Denis Fortun, Daniel Sage, Guillaume Schmit, Ferréol Arnaud Marie Soulez, Michaël Unser, Cédric René Jean Vonesch

Images in fluorescence microscopy are inherently blurred due to the limit of diffraction of light. The purpose of deconvolution microscopy is to compensate numerically for this degradation. Deconvolution is widely used to restore fine details of 3D biological samples. Unfortunately, dealing with deconvolution tools is not straightforward. Among others, end users have to select the appropriate algorithm, calibration and parametrization, while potentially facing demanding computational tasks. To make deconvolution more accessible, we have developed a practical platform for deconvolution microscopy called DeconvolutionLab. Freely distributed, DeconvolutionLab hosts standard algorithms for 3D microscopy deconvolution and drives them through a user-oriented interface. In this paper, we take advantage of the release of DeconvolutionLab2 to provide a complete description of the software package and its built-in deconvolution algorithms. We examine several standard algorithms used in deconvolution microscopy, notably: Regularized inverse filter, Tikhonov regularization, Landweber, Tikhonov-Miller, Richardson-Lucy, and fast iterative shrinkage-thresholding. We evaluate these methods over large 3D microscopy images using simulated datasets and real experimental images. We distinguish the algorithms in terms of image quality, performance, usability and computational requirements. Our presentation is completed with a discussion of recent trends in deconvolution, inspired by the results of the Grand Challenge on deconvolution microscopy that was recently organized.

2017

Quality assessment of compression solutions for ICIP 2017 Grand Challenge on light field image coding

Touradj Ebrahimi, Irene Viola

In recent years, the research community has witnessed a growing interest in immersive representations of the real world, such as light field. However, due to the increased volume of data generated in the acquisition, new and efficient compression algorithms are needed to store and deliver light field contents. A Grand Challenge on light field image coding was organised during ICIP 2017 to collect and evaluate new compression algorithms for lenslet-based light field images. This paper reports the results of the objective and subjective evaluation campaign conducted to assess the responses to the grand challenge. An adjectival categorical rating methodology with 7-point grading scale was selected to perform subjective assessments, whereas the objective assessment was conducted using popular image quality metrics. Results show that two proposals have comparable performance and outperform the others across all bitrates.

2018

Quality Assessment Of Compression Solutions For Icip 2017 Grand Challenge On Light Field Image Coding

Touradj Ebrahimi, Irene Viola

IEEE2018

Robotics

Robotics is an interdisciplinary branch of electronics and communication, computer science and engineering. Robotics involves the design, construction, operation, and use of robots. The goal of rob

Lidar

Lidar (ˈlaɪdɑːr, also LIDAR, LiDAR or LADAR, an acronym of "light detection and ranging" or "laser imaging, detection, and ranging") is a method for determining ranges by targeting an object or

Unmanned ground vehicle

An unmanned ground vehicle (UGV) is a vehicle that operates while in contact with the ground and without an onboard human presence. UGVs can be used for many applications where it may be inconvenie