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Climatic Aerodynamics

This research program addresses critical challenges in autonomous vehicle (AV) sensing performance under adverse weather conditions by investigating aerodynamic and soiling interactions impacting sensor functionality. Given AVs and vehicles with advanced driver-assistance systems (ADAS) rely on sensors—such as optical cameras, radar, and lidar—for accurate environmental perception, the effects of soiling and weather interference on these sensors is a complex multiphase flow process that requires a comprehensive and detailed examination of the mechanisms of soiling and the effect of precipitation on sensor visibility. The research includes but is not limited to the following:

    1. Wind tunnel testing and characterization of material surface
      picture1.png      Characterize sensor cover surfaces under different rain intensities and aerodynamic conditions. This research provides the fundamental insight necessary for the development of effective soiling mitigation strategies.

    2. Advanced Sensor Housing Design and Surface Treatments
      Investigate the impact of different geometries and material surface characteristics on droplet shedding, dirt resistance, and icing in various environmental conditions, combining experimental testing and computational modeling to optimize these designs.

    3. Aerodynamic Sensor Placement Optimization
      Explore how sensor placement relative to airflows affects soiling accumulation and reduces exposure to contaminants. By conducting numerical simulations and wind tunnel experiments, the research also aims to develop aerodynamic designs to minimize sensor surface soiling contaminants.

    4. Passive and Active Flow Control Techniques
      Design and develop aerodynamic devices like vortex generators, spoilers, and deflectors to redirect airflow around sensors to reduce soiling. Also, active methods, such as controlled air jets or pulsed airflows, could also be explored to create a self-cleaning effect. Both approaches are also being investigated for their effectiveness in various weather scenarios.