Positioning and Location Awareness

This course explores Global Navigation Satellite Systems (GNSS) and indoor positioning technologies for tracking people, devices, and assets in urban and indoor environments, with a focus on location-aware applications. It combines theoretical foundations, technical methodologies, and real-world implementation considerations across three core modules:

1. Analysis of Location-Aware Applications

• Key concepts: Location awareness (sensing physical position), location sensitivity (adaptive responses based on position), and context awareness (integrating environmental data).

• Use cases: Navigation in smart cities, asset tracking in logistics, emergency response systems, and personalized location-based services (LBS).

• Technical and legislative factors: Data protection regulations (e.g., GDPR), security challenges, standardization efforts (e.g., OGC, ISO), and societal impacts of pervasive tracking.

2. Coordinate Reference Systems and Frames

• Global systems: ITRS, WGS-84 and ETRS89; Height: EVRS, LAT, NAP

• Local systems: National frameworks (e.g., Dutch RD/NAP) and linear systems (e.g., road or railway chainage/milestones).

• Coordinate conversions and Datum transformations: Converting between systems (e.g., geodetic to Cartesian), RDNAPTRANS, and map projections.  

3. Positioning Methods and Performance Evaluation

• GNSS: Principles of GPS, Galileo, and BeiDou; error sources; accuracy enhancement via SBAS (e.g., EGNOS).

• Indoor technologies:

  • Radio-based: Bluetooth Low Energy (BLE), Ultra-Wideband (UWB), Wi-Fi fingerprinting, and RFID.

  • Sensor fusion: Inertial Navigation Systems (INS) with dead reckoning and map-matching.

  • Advanced methods: Template-based fingerprinting and hybrid approaches.

• Performance metrics: Availability (ability to provide the required function), Accuracy (cm, sub-meter to 10m), precision (DOP), integrity (signal reliability), and continuity (uninterrupted service).

The course integrates case studies (e.g., indoor navigation at TU Delft) and hands-on exercises. Emphasis is placed on balancing technological innovation with ethical and regulatory compliance, preparing students to design solutions for smart infrastructure, IoT ecosystems, and urban mobility.