21 documents found, page 1 of 3
Enhancing automotive products with TinyML and MEMS sensors: a preliminary approach
Sousa, Lídia; Silva, Rui; Peixoto, Hugo; Melo-Pinto, Pedro; Costa, André; Melo, César; Delgado, Pedro; Fukuda, Vitor; Machado, José ManuelThe Tiny Machine Learning (TinyML) research field has seen exponential growth in recent years, mostly due to advances in the usage of IoT devices and microcontrollers. Despite major challenges related to hardware constraints, TinyML has been expanding the scope of applications in several domains, with the automotive industry taking special interest in these models for their potential to enhance existing Advance...
Multi-agent system for multimodal machine learning object detection
Coelho, Eduardo; Pimenta, Nuno; Peixoto, Hugo; Durães, Dalila; Melo-Pinto, Pedro; Alves, Victor; Bandeira, Lourenço; Machado, José Manuel; Novais, PauloMulti-agent systems have shown great promise in addressing complex problems that traditional single-agent approaches are not be able to handle. In this article, we propose a multi-agent system for the conception of a multimodal machine learning problem on edge devices. Our architecture leverages docker containers to encapsulate knowledge in the form of models and processes, enabling easy management of the syste...
A framework for representing, building and reusing novel atate-of-the-art three...
Silva, António José Linhares; Oliveira, Pedro; Durães, Dalila; Fernandes, Duarte; Névoa, Rafael; Monteiro, João L.; Melo-Pinto, PedroThe rapid development of deep learning has brought novel methodologies for 3D object detection using LiDAR sensing technology. These improvements in precision and inference speed performances lead to notable high performance and real-time inference, which is especially important for self-driving purposes. However, the developments carried by these approaches overwhelm the research process in this area since new...
Customizable FPGA-based hardware accelerator for standard convolution processes...
Silva, João Pedro Duarte; Pereira, Pedro Miguel Coelho; Machado, Rui; Névoa, Rafael; Melo-Pinto, Pedro; Fernandes, DuarteIn recent years there has been an increase in the number of research and developments in deep learning solutions for object detection applied to driverless vehicles. This application benefited from the growing trend felt in innovative perception solutions, such as LiDAR sensors. Currently, this is the preferred device to accomplish those tasks in autonomous vehicles. There is a broad variety of research works o...
Comparison of different deployment approaches of FPGA-based hardware accelerato...
Pereira, Pedro; Linhares Silva, António; Machado, Rui; Silva, João; Durães, Dalila; Machado, José Manuel; Novais, Paulo; Monteiro, João L.GPU servers have been responsible for the recent improvements in the accuracy and inference speed of the object detection models targeted to autonomous driving. However, its features, namely, power consumption and dimension, make its integration in autonomous vehicles impractical. Hybrid FPGA-CPU boards emerged as an alternative to server GPUs in the role of edge devices in autonomous vehicles. Despite their en...
Prediction of Sugar Content in Port Wine Vintage Grapes Using Machine Learning ...
Gomes, Véronique; Reis, Marco S.; Rovira-Más, Francisco; Mendes-Ferreira, Ana; Melo-Pinto, PedroThe high quality of Port wine is the result of a sequence of winemaking operations, such as harvesting, maceration, fermentation, extraction and aging. These stages require proper monitoring and control, in order to consistently achieve the desired wine properties. The present work focuses on the harvesting stage, where the sugar content of grapes plays a key role as one of the critical maturity parameters. Our...
Determination of Sugar, pH, and Anthocyanin Contents in Port Wine Grape Berries...
Gomes, Véronique; Rendall, Ricardo; Reis, Marco; Mendes-Ferreira, Ana; Melo-Pinto, PedroThis paper presents an extended comparison study between 16 different linear and nonlinear regression methods to predict the sugar, pH, and anthocyanin contents of grapes through hyperspectral imaging (HIS). Despite the numerous studies on this subject that can be found in the literature, they often rely on the application of one or a very limited set of predictive methods. The literature on multivariate regres...
Real-time 3D object detection and SLAM fusion in a low-cost LiDAR test vehicle ...
Fernandes, Duarte; Afonso, Tiago; Girão, Pedro; Gonzalez, Dibet; Silva, António José Linhares; Névoa, Rafael; Novais, Paulo; Monteiro, João L.Recently released research about deep learning applications related to perception for autonomous driving focuses heavily on the usage of LiDAR point cloud data as input for the neural networks, highlighting the importance of LiDAR technology in the field of Autonomous Driving (AD). In this sense, a great percentage of the vehicle platforms used to create the datasets released for the development of these neural...
Resource-constrained onboard inference of 3D object detection and localisation ...
Silva, António José Linhares; Fernandes, Duarte; Névoa, Rafael Augusto Cunha Costinha; Monteiro, João L.; Novais, Paulo; Girão, Pedro; Afonso, TiagoResearch about deep learning applied in object detection tasks in LiDAR data has been massively widespread in recent years, achieving notable developments, namely in improving precision and inference speed performances. These improvements have been facilitated by powerful GPU servers, taking advantage of their capacity to train the networks in reasonable periods and their parallel architecture that allows for h...
Point-cloud based 3D object detection and classification methods for self-drivi...
Fernandes, Duarte; Silva, Antonio; Nevoa, Rafael; Simoes, Claudia; Gonzalez, Dibet; Guevara, Miguel; Novais, Paulo; Monteiro, João L.; Melo-Pinto, PedroAutonomous vehicles are becoming central for the future of mobility, supported by advances in deep learning techniques. The performance of aself-driving system is highly dependent on the quality of the perception task. Developments in sensor technologies have led to an increased availability of 3D scanners such as LiDAR, allowing for a more accurate representation of the vehicle's surroundings, leading to safer...