Posters (Sessions 8 & 11)
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The purpose of this project is to develop, simulate and test through targeted vehicle and roadway infrastructure field test experiments a traffic operating system (TOS) that organizes existing computation, communication and automotive technologies to minimize congestion by increasing traffic throughput and to enhance safety by reducing driver errors through the use of cooperative adaptive cruise control strategies.
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The accelerating pace of advances in sensing, communications, and computation provides significant opportunities for enhancing mobility and safety in the transportation system. Many challenges, however, must be tackled for a smooth transition in the deployment of such technologies. This research develops an Intelligent Intersection Control System (IICS) for both Connected/Automated Vehicles (CAVs) and conventional vehicles in the traffic stream.
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For this project, we are building tools and verification techniques that check modern cyberphysical systems (CPSs) and Internet of Things (IoT) systems for correctness in order to decrease the likelihood of behavior that may lead to various vulnerabilities, including those related to security. In particular, we intend to create a suite of verification tools for design-time, compile-time, and run-time checking of these systems. Some of these tools will be software-oriented, but others will explore hardware-support for checking correct execution of deployed systems.
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The goal of this project is to create an integrative framework for the design of coupled biological and robotic systems that accommodates system uncertainties and competing objectives in a rigorous, holistic, and effective manner. The design principles are developed using a concrete, end-to-end application of tracking and modeling fish movement with a network of gliding robotic fish. The proposed robotic platform is an energy-efficient underwater gliding robotic fish that travels by changing its buoyancy and mass distribution (gliding) or by flapping tail fin (swimming).
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The overall research objective of the project is to establish and demonstrate a generic motion-sensing co-design procedure that significantly reduces the complexity of mission design for swarm-ing CPS, and greatly facilitates the development of effective and efficient control and sensing strategies.
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A method for achieving lane-level localization in global navigation satellite system (GNSS)-challenged environments is presented. The proposed method uses the pseudoranges drawn from unknown ambient cellular towers as an exclusive aiding source for a vehicle-mounted light detection and ranging (lidar) sensor. The following scenario is considered. A vehicle aiding its lidar with GNSS signals enters an environment where these signals become unusable. The vehicle is equipped with a receiver capable of producing pseudoranges to unknown cellular towers in its environment.
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Large-scale networked systems (such as the power grid, the internet, multi-robot systems, and smart cities) consist of a large number of interconnected components. To allow the entire system to function efficiently, these components must communicate with each other and use the exchanged information in order to estimate the state of the entire system and take optimal actions.
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The IoT requires rethinking of traditional ways of providing power. The environment is a source of mechanical energy that could be converted into electrical energy via the direct piezoelectric effect. In order to have a reliable and sustainable energy supply for low power sensing systems in buildings, vibrational energy harvesting is being pursued. Lead based materials in a piezoelectric compliant mechanism energy harvester can provide up to 3.9 mWcm-2g2 (H.G. Yeo, 2016).
