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 4 of 4 for “"On-Board Diagnostics (OBD)"”.

  1. Simultaneous Three-Dimensional Mapping and Geolocation of Road Surface

    … presents a simultaneous 3D mapping and geolocation of road surface technique that combines local road surface mapping and global camera localization. The local road surface is generated by structure from motion (SFM) with multiple views and optimized by Bundle Adjustment (BA). A system is …

    vt Repository record for Simultaneous Three-Dimensional Mapping and Geolocation of Road Surface (opens in a new tab)

  2. Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines

    The continuously stringent emission regulations call for the adaptation of the Selective Catalytic Reduction (SCR) system by many diesel manufacturers. In order to show the EPA the latest emission compliance, the sensors are required to be installed at upstream and downstream of the SCR. As a …

    uiuc Repository record for Model-based fault detection and diagnosis of selective catalytic reduction systems for diesel engines (opens in a new tab)

  3. Design, development, and validation of a remotely reconfigurable vehicle telemetry system for consumer and government applications

    … cost-effective, easy-to-use system for remotely monitoring vehicle performance and drivers' habits, with the aim of collecting data for vehicle characterization and traffic shaping. Vehicular congestion and concerns over fuel reserves, pollution, and carbon emissions have recently emerged as …

    mit Repository record for Design, development, and validation of a remotely reconfigurable vehicle telemetry system for consumer and government applications (opens in a new tab)

  4. Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction

    On-board diagnostics (OBD) data contain valuable information including real-world measurements of vehicle powertrain parameters. These data can be used to gain a richer data-driven understanding of complex physical phenomena like emissions formation during combustion. In this thesis, a …

    umn Repository record for Physics-Based Artificial Intelligence Models for Vehicle Emissions Prediction (opens in a new tab)