Sökning: "driver information systems"

Visar resultat 1 - 5 av 209 avhandlingar innehållade orden driver information systems.

  1. 1. On the interaction between driver assistance systems and drivers in situations of system failure

    Författare :Josef Nilsson; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; adaptive cruise control; Chalmers driving simulator; automotive safety; controllability; driver assistance systems; functional safety; dependability; brake failure; fault injection;

    Sammanfattning : The level of automation is increasing in road vehicles as driver assistance systems take control of both speed and steering. Benefits of this development are expected in the form of improved safety, driver comfort, traffic efficiency, etc. LÄS MER

  3. 2. Advancing Deep Learning-based Driver Intention Recognition : Towards a safe integration framework of high-risk AI systems

    Författare :Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Christian Berger; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deep learning; uncertainty estimation; driver intention recognition; INF302 Autonomous Intelligent Systems; INF302 Autonoma intelligenta system; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Progress in artificial intelligence (AI), onboard computation capabilities, and the integration of advanced sensors in cars have facilitated the development of Advanced Driver Assistance Systems (ADAS). These systems aim to continuously minimize human driving errors. LÄS MER

  4. 3. Analyzing real-world data to promote development of active safety systems that reduce car-to-vulnerable road user accidents

    Författare :Azra Habibovic; Chalmers tekniska högskola; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Accident prevention; Naturalistic observation; Causation analysis; Active safety system; Vulnerable road user VRU ; Driver behavior; Functional requirements; Statistical analysis; VRU behavior;

    Sammanfattning : The overall objective of the thesis is to explore various types of real-world road traffic data and to assess the extent to which they can inform the design of active safety systems that aim to prevent car-to-vulnerable road user (VRU) accidents. A combined analysis of in-depth and police reported accident data provided information on driver behavior and contextual variables, which is valuable for the development of active safety systems. LÄS MER

  5. 4. Navigating the Black Box: Generativity and Incongruences in Digital Innovation

    Författare :Adrian Bumann; Chalmers tekniska högskola; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; organizing vision; AI; incongruences; generativity; technological frames; digital innovation; innovation network;

    Sammanfattning : Digital technologies offer generative potential as they are malleable, dynamic and can be leveraged across a range of tasks. Prior studies have mainly focused on generativity as driver for recombinatorial innovation. LÄS MER

  7. 5. Data-driven Innovation : An exploration of outcomes and processes within federated networks

    Författare :Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

    Sammanfattning : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. LÄS MER