Sökning: "automotive safety"

Visar resultat 1 - 5 av 147 avhandlingar innehållade orden automotive safety.

  1. 1. Models for tracking in automotive safety systems

    Författare :Fredrik Bengtsson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; motion models; active safety; vehicle tracking; Automotive; radar detections; preventive safety;

    Sammanfattning : This thesis treats the three main components of a tracking system: motion models, sensor models and implementation architecture. A tracking system utilizes models to extract as much information as possible from a set of sensors, with the purpose of estimating the state of a dynamic system. LÄS MER

  2. 2. Computational Verification Methods for Automotive Safety Systems

    Författare :Jonas Nilsson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; Active Safety; Automotive; Verification; Augmented Reality; Performance Evaluation; Decision Making; Semi-Autonomous Vehicles;

    Sammanfattning : This thesis considers computational methods for analysis and verification of the class of automotive safety systems which support the driver by monitoring the vehicle and its surroundings, identifying hazardous situations and actively intervening to prevent or mitigate consequences of accidents. Verification of these systems poses a major challenge, since system decisions are based on remote sensing of the surrounding environment and incorrect decisions are only rarely accepted by the driver. LÄS MER

  3. 3. On Performance Evaluation of Automotive Active Safety Systems

    Författare :Jonas Nilsson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; Semi-Autonomous Vehicles; Active Safety; Automotive; Augmented Reality.; Verification; Performance Evaluation; Decision Making;

    Sammanfattning : Road traffic accidents are a major global problem, annually causing over 1.2 million fatalities. To improve road safety, active safety systems support the driver by monitoring the vehicle and its surroundings, identifying hazardous situations and actively intervening to prevent or mitigate consequences of accidents. LÄS MER

  4. 4. Tracking Theory for Preventive Safety Systems

    Författare :Lars Danielsson; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; vehicle tracking; sensor data fusion; automotive; active safety systems; sensor models; warning integration; motion models; fusion strategies; human machine interface; preventive safety systems;

    Sammanfattning : Preventive safety systems rely on accurate information from a sensing system regarding the current traffic situation to make decision whether to inform, warn or intervene to avoid an impeding collision or to mitigate its consequences. This thesis mainly considers tracking algorithms to enhance these systems through making the best use of the information supplied by on-vehicle sensors, such as radar and vision sensors. LÄS MER

  5. 5. Filtering and modelling for automotive safety systems

    Författare :Fredrik Sandblom; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; decision-making; automotive safety; sensor data fusion; motion models; radar sensor models; filtering theory; moment estimation;

    Sammanfattning : This thesis makes five important contributions to the development of an automotive safety system: filtering algorithms, three modelling frameworks concerning the usage of radar detections in tracking, vehicle motion, and decision-making for intervention decisions, and finally the implementation architecture.In the filtering context, we have developed a new sigma-point method for estimating the moments of a transformed Gaussian random variable. LÄS MER