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Physically based spectral rendering has become increasingly important in recent years. However, asset textures in such systems are usually still drawn or acquired as RGB tristimulus values. While a number of RGB to spectrum upsampling techniques are availa ...
We discuss challenges a sprawling posture legged robot faces when moving in a complex environment. These kind of robots can be used for search and rescue applications when proper sensors are used and placed correctly. Finding an adequate position for placi ...
Nanoscale technology nodes bring reliability concerns back to the center stage of digital system design. A systematic classification of approaches that increase system resilience in the presence of functional hardware (HW)-induced errors is presented, deal ...
The objective of this project is to develop a low-cost and flexible solution for mapping the nearshore bathymetry using a small quadcopter that hovers above the surf zone. ...
Lightning striking tall towers is mainly of the upward lightning type, which is characterized by the absence of a first return stroke and the presence of an initial continuous current (ICC) with or without superimposed pulses. The Santis Tower is 124 m tal ...
Mobile ground robots operating on unstructured terrain must predict which areas of the environment they are able to pass in order to plan feasible paths. We address traversability estimation as a heightmap classification problem: we build a convolutional n ...
Acoustic modeling based on deep architectures has recently gained remarkable success, with substantial improvement of speech recognition accuracy in several automatic speech recognition (ASR) tasks. For distant speech recognition, the multi-channel deep ne ...
In the process of urban growth, the underground is often only addressed once all surface alternatives have been exhausted. Experience shows that this can lead to unforeseen conflicts (e.g., subsidence, groundwater pollution) and to lost opportunities (e.g. ...
This study highlights the benefits of precise aerial position and attitude control in the context of mapping with Micro Aerial Vehicles (MAVs). Accurate mapping with MAVs is gaining importance in applications such as corridor mapping, road and pipeline ins ...
Acoustic modeling based on deep architectures has recently gained remarkable success, with substantial improvement of speech recognition accuracy in several automatic speech recognition (ASR) tasks. For distant speech recognition, the multi-channel deep ne ...
