Search for dissertations about: "FISST"

Found 3 swedish dissertations containing the word FISST.

  2. 1. Multiple Model Filtering and Data Association with Application to Ground Target Tracking

    Author : Daniel Svensson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multiple model filtering; semi-Markov processes; multi-target tracking; FISST; state estimation; IMM; performance evaluation; OSPA; PHD; ground target tracking; Kalman filtering; target tracking; CPHD; MHT; random finite sets;

    Abstract : This thesis is concerned with two central parts of a tracking system, namely multiple-model filtering and data association. Multiple models are introduced to provide accurate filtering, whereas data association deals with the unknown origin of the received measurements. READ MORE

  4. 2. Target Tracking in Complex Scenarios

    Author : Daniel Svensson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ran- dom finite sets; multiple-model filtering; radar.; state estimation; Target tracking; performance evaluation; sensor models;

    Abstract : This thesis is concerned with three important components in target track- ing, namely multiple-model filtering, data association and sensor resolution modeling. For multiple-model filtering, the preferred method has long been the Interacting Multiple Model (IMM) filter, which relies on the assumption that immediate model shifts have the highest probability. READ MORE

  5. 3. Sensor Fusion for Automotive Applications

    Author : Christian Lundquist; Fredrik Gustafsson; Thomas B. Schön; Uwe Hanebeck; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Kalman filter; PHD filter; extended targets; tracking; sensor fusion; road model; single track model; bicycle model;

    Abstract : Mapping stationary objects and tracking moving targets are essential for many autonomous functions in vehicles. In order to compute the map and track estimates, sensor measurements from radar, laser and camera are used together with the standard proprioceptive sensors present in a car. READ MORE