Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"Multi-sensor Fusion"”.
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Efficient Multi-Sensor Fusion for 3D Perception
… as speed and cost. In this thesis, I develop two multisensor fusion models for 3D Perception: BEVFusion, a camera-LiDAR fusion model, and BEVFusion-R, a camera-radar fusion model. BEVFusion seeks to balance accuracy and speed. By fusing features from each input modality in the shared bird’s eye …
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Reliable location sensing through multi-sensor fusion, dynamic weighting, and confidence mapping
Ubiquitous computing environments provide multitudes of technologies seamlessly augmented with physical systems to aid users in everyday tasks. In order for these systems to be pervasive and yet imperceptible to the user, they must maintain the location of users, devices, and resources within the …
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MEASURING AND MAPPING FOREST WILDLIFE HABITAT CHARACTERISTICS USING LIDAR REMOTE SENSING AND MULTI-SENSOR FUSION
Managing forests for multiple, often competing uses is challenging; managing Sierra National Forest's fire regime and California spotted owl habitat is difficult and compounded by lack of information about habitat quality. Consistent and accurate measurements of forest structure will reduce …
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WildPose: Long-Range 3D Motion Tracking of Cheetahs in the Wild Using Multi-Sensor Fusion
… wild, dubbed WildPose. The method makes use of multi-sensor fusion including lidar, RGB and IMU sensors to compensate for situations where pure vision-based techniques perform inadequately. To increase robustness, the software design makes use of previously successful trajectory optimisation …
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Pose Estimation and 3D Bounding Box Prediction for Autonomous Vehicles Through Lidar and Monocular Camera Sensor Fusion
… one with 19 layers. The research emphasizes the fusion of camera and lidar outputs to enhance the accuracy of 3D bounding box estimation, which is critical in occluded environments. Selecting an appropriate backbone for feature extraction is pivotal for achieving high detection accuracy. To …
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Design and development of an affordable autonomous vehicle for bike lanes
… focused on four-wheeled vehicles with expensive sensors and onboard computing. Also, these vehicles have to meet strict safety standards and regulations for operation in a hostile environment like car lanes in dense cities. This thesis presents the design and development of the Persuasive …
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Autonomous Navigation and Simultaneous 3D Mapping with a UGV in an Open-Ended Environment
… integrates Detectron2's Panoptic FPN model with multi-sensor fusion and simultaneous 3D mapping capabilities for the Clearpath Husky A200 unmanned ground vehicle (UGV) operating in complex outdoor environments. By combining panoptic segmentation for comprehensive scene understanding with the ROS2 …
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Computational strategies for understanding underwater optical image datasets
… images, presenting our own approach based on multi-sensor fusion and a strong physical model. Next, we construct a novel image pyramid structure that can reduce the complexity necessary to compute features across multiple scales by an order of magnitude and recommend features which are fast to …
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Computational strategies for understanding underwater optical image datasets
… images, presenting our own approach based on multi-sensor fusion and a strong physical model. Next, we construct a novel image pyramid structure that can reduce the complexity necessary to compute features across multiple scales by an order of magnitude and recommend features which are fast to …
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AI-based Edge Computing System for Event Based Analytics
… for light-weighted data analytics and scalable multi-sensor fusion of complex real-time data. We have developed the prototype with low-cost IoT devices and sensors for edge intelligence with indoor and outdoor environment events, including air quality, noises, and in-home diagnostic. We have …
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Co-Designing Efficient Systems and Algorithms for Sparse and Quantized Deep Learning Computing
… libraries. Additionally, we introduce BEVFusion, an efficient multi-sensor fusion framework that fuses information in bird’s-eye-view (BEV) space, reducing computation by 1.9× while enhancing accuracy compared to prior methods. Generative AI is constrained by the massive size of models, …
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DEVELOPMENT OF INNOVATIVE SENSORS FOR DETECTING THE WATER STATUS OF PLANTS IN PRECISION AGRICULTURE APPLICATIONS
… research addresses the development of innovative sensors and integrated systems for the direct assessment of plant water status, a key parameter in precision agriculture and sustainable irrigation. The thesis is organized into three main experimental parts, each addressing a different level of …
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Remote monitoring and fault diagnosis of an industrial machine through sensor fusion
… of modern machinery. Traditional single-sensor methods of fault monitoring and diagnosis may find it difficult to meet modern industrial requirements because there is usually no direct way to measure and accurately correlate a machine fault to a single sensor output. Fusion of information …
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Enhancing side-channel analysis through measurement, and high-power IEMI generation
… methodology that is attack-agnostic, leveraging multi-sensor fusion with a Kalman filter to enhance SCA data resolution and significantly reduce the number of measurements needed for successful attacks. We propose and realize a low-cost, low-noise, multi-sensor measurement board to demonstrate …
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Ultra high frequency (UHF) radio-frequency identification (RFID) for robot perception and mobile manipulation
… and manipulation capabilities to provide multiple opportunistic views of the complex electromagnetic landscape inside a home environment. The electromagnetic properties of RFID tags change when applied to common household objects. Objects can have varied material properties, can be placed …
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Advanced Occupancy Measurement Using Sensor Fusion
… to obtain. For example, passive infrared (PIR) sensors commonly used for occupancy sensing in lighting control applications cannot differentiate between occupants grouped together, video sensing is often limited by privacy concerns, atmospheric gas sensors (such as CO2 sensors) may be affected …
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Self-Powered Intelligent Traffic Monitoring Using IR Lidar and Camera
… classification based on size. Two categories of sensors are used including IR Lidar and IR camera. With the two sensors, three detection techniques are used: Time of Flight (ToF) based, vision based and Laser spot flow based. Each technique outputs observations about vehicle location at different …
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