Tutorial Sessions

Abstract:

This lecture introduces the foundational concepts of artificial satellites, with a specific focus on payloads and sensor applications in pico-satellites and CanSats. Starting with a historical overview of spaceflight from the launch of Sputnik-1 in 1957, the session transitions to the modern use of small satellites as platforms for innovation, education, and research.

• Satellite Applications: Earth observation, meteorology, disaster management, communications, and navigation.
• Payload & Sensor Integration: How compact payloads (e.g. atmospheric sensors, GPS, imaging systems) are selected and implemented.
• CanSat Projects: Hands-on educational platforms that simulate real satellite missions with sensor data and telemetry.
• From Learning to Launching: How CanSat experience leads to CubeSat and pico-satellite development, including examples from Latin America.
• Satellite Applications: Earth observation, meteorology, disaster management, communications, and navigation.
• Payload & Sensor Integration: How compact payloads (e.g. atmospheric sensors, GPS, imaging systems) are selected and implemented.
• CanSat Projects: Hands-on educational platforms that simulate real satellite missions with sensor data and telemetry.
• From Learning to Launching: How CanSat experience leads to CubeSat and pico-satellite development, including examples from Latin America.

Despite the proven success of MHT as a methodology for MTT, computational constraints and other fundamental performance limitations may lead to unacceptable performance in some settings. We discuss the benefits that can be achieved with multi-stage MHT processing. In many settings, judicious distributed MHT processing enables improved performance over (necessarily suboptimal) centralized MHT. We provide illustrative examples from several domains. Additionally, we describe recent advances in graph-based tracking, a fast (approximate) approach to MHT that provides improved results in certain applications.