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Yayın ViLDAR-Visible light sensing-based speed estimation using vehicle headlamps(IEEE, 2019-11) Abuella, Hisham; Miramirkhani, Farshad; Ekin, Sabit; Uysal, Murat; Ahmed, SamirThe introduction of light emitting diodes (LED) in automotive exterior lighting systems provides opportunities to develop viable alternatives to conventional communication and sensing technologies. Most of the advanced driver-assist and autonomous vehicle technologies are based on Radio Detection and Ranging (RADAR) or Light Detection and Ranging (LiDAR) systems that use radio frequency or laser signals, respectively. While reliable and real-time information on vehicle speeds is critical for traffic operations management and autonomous vehicles safety, RADAR or LiDAR systems have some deficiencies especially in curved road scenarios where the incidence angle is rapidly varying. In this paper, we propose a novel speed estimation system so-called the Visible Light Detection and Ranging (ViLDAR) that builds upon sensing visible light variation of the vehicle's headlamp. We determine the accuracy of the proposed speed estimator in straight and curved road scenarios. We further present how the algorithm design parameters and the channel noise level affect the speed estimation accuracy. For wide incidence angles, the simulation results show that the ViLDAR outperforms RADAR/LiDAR systems in both straight and curved road scenarios.Yayın Semantic communications in networked systems: a data significance perspective(IEEE, 2022-07-01) Uysal, Elif; Kaya, Onur; Ephremides, Anthony; Gross, James; Codreanu, Marian; Popovski, Petar; Assaad, Mohamad; Liva, Gianluigi; Munari, Andrea; Soret, Beatriz; Soleymani, Touraj; Johansson, Karl HenrikWe present our vision for a departure from the established way of architecting and assessing communication networks, by incorporating the semantics of information for communications and control in networked systems. We define semantics of information, not as the meaning of the messages, but as their significance, possibly within a real time constraint, relative to the purpose of the data exchange. We argue that research efforts must focus on laying the theoretical foundations of a redesign of the entire process of information generation, transmission and usage in unison by developing: advanced semantic metrics for communications and control systems; an optimal sampling theory combining signal sparsity and semantics, for real-time prediction, reconstruction and control under communication constraints and delays; semantic compressed sensing techniques for decision making and inference directly in the compressed domain; semantic-aware data generation, channel coding, feedback, multiple and random access schemes that reduce the volume of data and the energy consumption, increasing the number of supportable devices. This paradigm shift targets jointly optimal information gathering, information dissemination, and decision making policies in networked systems.Yayın Architecture of a fully pipelined real-time cellular neural network emulatort(IEEE-INST Electrical Electronics Engineers Inc, 2015-01) Yıldız, Nerhun; Cesur, Evren; Kayaer, Kamer; Tavşanoğlu, Ahmet Vedat; Alpay, MurathanIn this paper, architecture of a Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v2) is given and the implementation results are discussed. The proposed architecture has a fully pipelined structure, capable of processing full-HD 1080p@60 (1920 1080 resolution at 60 Hz frame rate, 124.4 MHz visible pixel rate) video streams, which is implemented on both high-end and low-cost FPGA devices, Altera Stratix IV GX 230, and Cyclone III C 25, respectively. Many features of the architecture are designed to be either pre-synthesis configurable or runtime programmable, which makes the processor extremely flexible, reusable, scalable, and practical.Yayın Range sensing with a Scheimpflug camera and a CMOS sensor/processor chip(IEEE-INST Electrical Electronics Engineers Inc, 2004-02) Çilingiroğlu, Uğur; Chen, Sicheng; Çilingiroğlu, EmreAn image-based range-sensing technique is presented. The technique is originally considered for highway collision avoidance applications, but its generality makes it suitable for application in robotics, manufacturing, and metrology, as well. It relies on depth from focus but, unlike conventional techniques, it extracts range with a single unmodulated Scheimpflug camera in continuous time. The range extraction algorithm is memoryless and simple enough to be implemented on the same chip with photosensors. The technique deploys a sensor plane that is tilted at a nonorthogonal angle with respect to the optical axis of the lens and the optical axis intersects the sensor plane at the focal point. This optical arrangement creates a focusable object plane in an orientation parallel to the optical axis and, thus, enables range sensing along the same axis. This paper elaborates on the details of focus sensing on the tilted sensor plane, describes the CMOS sensor/processor chip designed and prototyped for this application, and presents experimental results.
