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 164 for “"sensor fusion"”.
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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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Sensor Fusion for Field Robot Localization
Finally, this dissertation presents an object-based software framework for implementing sensing, navigation, and control for autonomous mobile robots. Underlying software patterns used in this framework are identified. This framework is comprised of a generic, reusable, and flexible class hierarchy …
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Efficient Multi-Sensor Fusion for 3D Perception
… 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 view …
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Enhancing Perception Systems using V2V Sensor Fusion
… Autonomous Vehicles rely on a number of sensor types, with the most common ones being Cameras, Radars, and LiDAR. The detections from these three sensors are fused into a track list that can be used to plan and control the vehicles movements. This thesis proposes a system to introduce …
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Multirotor UAS Sense and Avoid with Sensor Fusion
… and post-processing of real-world data. A sensor suite comprised of a 3D Light Detection and Ranging (LIDAR) sensor, visual camera, and 9 Degree of Freedom (DOF) Inertial Measurement Unit (IMU) was found to be beneficial to autonomous UAS SAA in urban environments. Promising results are …
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V-SLAM and Sensor Fusion for Ground Robots
… a robot has to rely solely on its on-board sensors to sense and understand its surroundings. This is the main reason why SLAM gained the popularity it has today. In recent years, we have seen excellent improvement on accuracy of localization using cameras and combinations of different …
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Mapping and sensor fusion for an autonomous vehicle
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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Sensor Fusion, Navigation, and Control of Autonomous Vehicles
… task of fusing diverse, and often conflicting, sensor data into a usable representation. Literature relevant to the task of using that data to make intelligent decisions in an autonomous manner is reviewed. The focus then shifts to developing a working platform, called Navigator, which tests the …
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Bayesian Approaches to Tracking, Sensor Fusion and Intent Prediction
… of the dynamic system and the information from sensors. While the tracking problem with frequent and accurate position data has been well studied, we push back the frontiers of current technology where an object can undergo fast manoeuvres and position fixes are limited. On the other hand, …
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Applications of Sensor Fusion to Classification, Localization and Mapping
Sensor Fusion is an essential framework in many Engineering fields. It is a relatively new paradigm for integrating data from multiple sources to synthesize new information that in general would not have been feasible from the individual parts. Within the wireless communications fields, many …
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Sensor Fusion and Obstacle Avoidance for an Unmanned Ground Vehicle
… the size, weight and power consumption of the sensor payload and onboard computational processing that can accommodated by UAS.</p> <p>This thesis analyzes the development and implementation of terrain mapping, path planning and control algorithms on an unmanned ground vehicle. Data from GPS, …
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Synesthetic Sensor Fusion via a Cross-Wired Artificial Neural Network.
… the domain of mobile autonomous robotics where sensor fusion is a current research topic. This model of synesthetic sensor fusion does not exhibit synesthetic responses. However, it was observed that cross-wiring two independent networks does not change the functionality of the individual …
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Sensor Fusion Algorithm for Airborne Autonomous Vehicle Collision Avoidance Applications
… these collisions. This can be done by utilizing sensors on the aircraft to monitor the sky for collision threats. However, several problems face a system which aims to use multiple sensors for target tracking. The data collected from sensors needs to be clustered, fused, and otherwise processed …
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Multi-rate Sensor Fusion for GPS Navigation Using Kalman Filtering
… capabilities of a system by incorporating other sensor and data technologies, including Kalman filtered inertial navigation systems, rule-based and fuzzy-based sensor fusion techniques, and a unique map-matching algorithm.
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Positioning In Indoor Environments Based on INS and RF Sensor Fusion
… cost and sufficient accuracy. Two of low cost sensor technologies have been utilised in this research; Inertial Navigation Systems (INS) and a positioning system based on the Bluetooth technology. The development of final system has been targeted by first optimizing the performance of each …
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GPS-LiDAR sensor fusion aided by 3D city models for UAVs
… situations. In such cases, additional on-board sensors are desirable to improve global positioning of the UAV. Light Detection and Ranging (LiDAR), one such sensor, provides a real-time point cloud of its surroundings. In a dense urban environment, LiDAR is able to detect a large number of …
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Development of Intelligent Exoskeleton Grasping Through Sensor Fusion and Slip Detection
… motion amplification. Using a combination of sensory feedback streams from the glove, the system has the ability to identify and prevent object slippage, as well as adapting grip geometry to the object properties. The slip detection algorithm provides updated inputs to the force controller to …
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