Abstract

Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing [...]

Abstract

Audio-based event detection poses a number of different challenges that are not encountered in other fields, such as image detection. Challenges such as ambient noise, low Signal-to-Noise Ratio (SNR) and microphone distance are not yet fully understood. If the multimodal approaches [...]

Abstract

This paper presents a fast and accurate classification method for underwater objects using underwater mapping data obtained by a small Autonomous Underwater Vehicle (AUV) and autonomous surface vehicle (ASV). For the mapping data, in addition to underwater acoustic reflection intensity [...]

Abstract

Relevance: Input-output tables are the basis for many types of analysis of the real sector, which are necessary to build a well-thought-out long-term and short-term policy. Evaluation of input-output tables is an expensive and time-consuming procedure. At the same time, national [...]

Abstract

 Input-output tables are the basis for many types of analysis of the real sector, which are necessary to build a well-thought-out long-term and short-term policy. Evaluation of input-output tables is an expensive and time-consuming procedure. At the same time, national statistical [...]

Abstract

Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed. The proliferation and growing sophistication [...]