TEKNOFEST Flying Car Simulation 2024
A digital simulation exploring the complexities of autonomous urban air mobility.
The TEKNOFEST Flying Car Simulation Competition requires teams to conceptualize and digitally operate autonomous aerial vehicles within dense, unpredictable urban environments. The objective transcends simply building a drone; it demands the architectural planning of an entire system capable of managing air traffic, optimizing routes, and responding dynamically to environmental hazards without human intervention.
FlyThrough was engineered around reality. Instead of relying on idealized conditions, we approached the simulation by strictly defining the physical constraints—modeling how a flying car would actively compensate for sudden weather shifts, sensor degradation, and complex no-fly zones in a simulated metropolitan airspace.
Structuring the theoretical foundation through deep research and academic documentation.
Conducted research on the specific sensors required for autonomous urban flight. I analyzed LIDAR and radar systems to determine their optimal integration and limitations within the simulation matrix.
A simulation is only robust if it accounts for failure. I studied how different sensor modules interact, fail, and compensate for each other during adverse weather conditions, dense fog, or sudden signal loss.
Compiled the competition reports to justify our simulation parameters. I translated our theoretical models and sensor data analyses into a structured, professional engineering document.