Essays about: "Multi-Sensor Information Fusion"
Showing result 1 - 5 of 9 essays containing the words Multi-Sensor Information Fusion.
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1. Information filter based sensor fusion for estimation of vehicle velocity
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : In this thesis, the possibility to estimate the velocity of a Heavy-duty vehicle (HDV) based on the Global Positioning System (GPS), an Inertial Measurement Unit (IMU) and the propeller shaft tachometer is investigated. The thesis was performed at Scania CV AB. READ MORE
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2. Using non-kinematic information to reduce the complexity of data association : A multi-sensor, multi-target association algorithm for automotive applications
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : Detta är ett examensarbete på mastersnivå gjort i samarbete med Scania CV AB. Avancerade förarstödssystem är en drivande faktor mot ökad säkerhet och bränsleeffektivisering i fordonsindustrin. READ MORE
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3. Fusion of Ladybug3 omnidirectional camera and Velodyne Lidar
University essay from KTH/Geodesi och satellitpositioneringAbstract : The advent of autonomous vehicles expedites the revolution of car industry. Volvo Car Corporation has an ambition of developing the next generation of autonomous vehicle. READ MORE
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4. Grid-Based Multi-Sensor Fusion for On-Road Obstacle Detection: Application to Autonomous Driving
University essay from KTH/Datorseende och robotik, CVAPAbstract : Self-driving cars have recently become a challenging research topic, with the aim of making transportation safer and more efficient. Current advanced driving assistance systems (ADAS) allow cars to drive autonomously by following lane markings, identifying road signs and detecting pedestrians and other vehicles. READ MORE
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5. Combining hyperspectral UAV and mulitspectral FORMOSAT-2 imagery for precision agriculture applications
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Precision agriculture requires detailed information regarding the crop status variability within a field. Remote sensing provides an efficient way to obtain such information through observing biophysical parameters, such as canopy nitrogen content, leaf coverage, and plant biomass. READ MORE