Searched for: subject%3A%22vision%22
(61 - 80 of 149)

Pages

document
Zaffar, M. (author), Garg, Sourav (author), Milford, Michael (author), Kooij, J.F.P. (author), Flynn, David (author), McDonald-Maier, Klaus (author), Ehsan, Shoaib (author)
Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes and with computational constraints. VPR is related to the concepts of localisation, loop closure, image retrieval and is a critical component of many autonomous...
journal article 2021
document
Bahnam, Stavrow (author), Pfeiffer, S.U. (author), de Croon, G.C.H.E. (author)
Current existing stereo visual odometry algorithms are computationally too expensive for robots with restricted resources. Executing these algorithms on such robots leads to a low frame rate and unacceptable decay in accuracy. We modify S-MSCKF, one of the most computationally efficient stereo Visual Inertial Odometry (VIO) algorithm, to improve...
conference paper 2021
document
Kulhanek, Jonas (author), Derner, Erik (author), Babuska, R. (author)
Visual navigation is essential for many applications in robotics, from manipulation, through mobile robotics to automated driving. Deep reinforcement learning (DRL) provides an elegant map-free approach integrating image processing, localization, and planning in one module, which can be trained and therefore optimized for a given environment....
journal article 2021
document
Noom, J. (author), Nguyen, Hieu Thao (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
This manuscript presents an improvement of state-of-the-art Closed-Loop Active Model Diagnosis (CLAMD). The proposed method utilizes weighted Bhattacharyya coefficients evaluated at the vertices of the polytopic constraint set to provide a good trade-off between computational efficiency and satisfactory input choice for separation of candidate...
conference paper 2021
document
van Dijk, Tom (author)
With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles....
report 2020
document
Irmak, T. (author), Pool, D.M. (author), Happee, R. (author)
We investigated and modeled the temporal evolution of motion sickness in a highly dynamic sickening drive. Slalom maneuvers were performed in a passenger vehicle, resulting in lateral accelerations of 0.4 g at 0.2 Hz, to which participants were subjected as passengers for up to 30 min. Subjective motion sickness was recorded throughout the...
journal article 2020
document
Mager, Tino (author), Hein, C.M. (author)
Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refined that they challenge our perception of the real. However,...
journal article 2020
document
Escalante, Hugo Jair (author), Kaya, Heysem (author), Ali Salah, Albert (author), Escalera, Sergio (author), Güç;lütürk, Yağmur (author), Güçlü, Umut (author), Baro, Xavier (author), Sukma Wicaksana, Achmadnoer (author), Liem, C.C.S. (author)
Explainability and interpretability are two critical aspects of decision support systems. Despite their importance, it is only recently that researchers are starting to explore these aspects. This paper provides an introduction to explainability and interpretability in the context of apparent personality recognition. To the best of our...
journal article 2020
document
Meister, S. (author), Wermes, Mahdieu Amin Mahdieu (author), Stüve, Jan (author), Groves, R.M. (author)
The Automated Fiber Placement process is established in the aerospace industry for the production of composite components. This technique places several narrow material strips in parallel. Within current industrial Automated Fiber Placement processes the visual inspection takes typically up to 50% of overall production time. Furthermore,...
conference paper 2020
document
González-González, Esther (author), Nogués, Soledad (author), Stead, D. (author)
The introduction of automated vehicles (AVs)is a virtual certainty. Much less certain is the timing of their introduction and how rapid the transition to full automation will be. Various governments are already working to facilitate this shift by, for example, amending and elaborating regulations to support the introduction of AVs, or...
journal article 2020
document
McGuire, K.N. (author)
Pocket drones, weighing less than 50 grams, are small, agile and inherently safe. This makes them suitable for several surveillance tasks such as search and rescue, green-house monitoring and pipe-line inspection. In order for a more efficient search, a swarm of pocket drones would be ideal to explore these types of areas faster. Current methods...
doctoral thesis 2019
document
Paredes-Vallés, Federico (author), Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
The combination of spiking neural networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This paper presents the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in an unsupervised fashion from the raw stimuli generated with an...
journal article 2019
document
Dankfort, Z.S. (author), Gonçalves, M. (author), Wegener, F.E. (author)
This paper explores the use of visual storytelling, for instance sketching, in organisational strategy practices. It contributes to an understanding of how design education has to change in order to broaden the skillset of design students, for them to be able to redesign organisations.
conference paper 2019
document
Cabrera Quiros, L.C. (author), Hung, H.S. (author)
We address the complex problem of associating several wearable devices with the spatio-temporal region of their wearers in video during crowded mingling events using only acceleration and proximity. This is a particularly important first step for multi-sensor behavior analysis using video and wearable technologies, where the privacy of the...
journal article 2019
document
Derner, Erik (author), Gomez, Clara (author), Hernandez, Alejandra C. (author), Barber, Ramon (author), Babuska, R. (author)
Autonomous mobile robots are becoming increasingly important in many industrial and domestic environments. Dealing with unforeseen situations is a difficult problem that must be tackled in order to move closer to the ultimate goal of life-long autonomy. In computer vision-based methods employed on mobile robots, such as localization or...
conference paper 2019
document
Baptista Ríos, M. (author), Lopez-Sastre, Roberto J. (author), Caba Heilbron, Fabian (author), van Gemert, J.C. (author), Acevedo-Rodriguez, F. Javier (author), Maldonado-Bascon, Saturnino (author)
The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and no consensus on the evaluation protocols to be used. In this work we propose to rethink the OAD scenario, clearly...
journal article 2019
document
Gudi, A.A. (author), Bittner, M. (author), Lochmans, Roelof (author), van Gemert, J.C. (author)
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine...
conference paper 2019
document
Uittenbogaard, Ries (author), Sebastian, Clint (author), Vijverberg, Julien (author), Boom, Bas (author), Gavrila, D. (author), De With, Peter H.N. (author)
The current paradigm in privacy protection in street- view images is to detect and blur sensitive information. In this paper, we propose a framework that is an alternative to blurring, which automatically removes and inpaints moving objects (e.g. pedestrians, vehicles) in street-view imagery. We propose a novel moving object segmentation...
conference paper 2019
document
Mager, Tino (author), Khademi, S. (author), Siebes, R.M. (author), Hein, C.M. (author), de Boer, Victor (author), van Gemert, J.C. (author)
Built form dominates the urban space where most people live and work and provides a visual reflection of the local, regional and global esthetical, social, cultural, technological and economic factors and values. Street-view images and historical photo archives are therefore an invaluable source for sociological or historical study; however,...
book chapter 2019
document
Malsattar, N.P. (author), Kihara, Tomo (author), Giaccardi, Elisa (author)
This paper describes ObjectResponder - a tool that allows designers to use Artificial Intelligence (AI) to rapidly prototype concepts for context-aware intelligent interaction in the wild. To our knowledge, there are currently no available tools for designing and prototyping with AI within the actual context of use. Our application uses...
conference paper 2019
Searched for: subject%3A%22vision%22
(61 - 80 of 149)

Pages