Search

Machine perception uses advanced sensors to collect information about the surrounding scene for situational awareness. State-of-the-art machine perception using active sonar, radar and LiDAR to enhance camera vision 9 faces difficulties when the number of intelligent agents scales up. Exploiting...

Here are some of the key contributions from our group over the years creating impact across different research areas:

TeX

Spectro-polarimetric imaging in the long-wave infrared (LWIR) region plays a crucial role in applications from night vision and machine perception to trace gas sensing and thermography. However, the current generation of spectro-polarimetric LWIR imagers suffers from limitations in size, spectral...

Our research in this area exploits informative measurement system in both quantum and classical domains to enhance imaging capabilities, showcasing a smooth integration of theory and practical applications in astronomy and beyond. We can broadly categorize our work in the following categories. Click...

The resolution of optical imaging is limited by diffraction as well as detector noise. However, thermal imaging exhibits an additional unique phenomenon of ghosting which results in blurry and low-texture images. Here, we provide a detailed view of thermal physics-driven texture and explain why it...

Achieving reliable autonomous navigation during nighttime remains a substantial obstacle in the field of robotics. Although systems utilizing Light Detection and Ranging (LiDAR) and Radio Detection and Ranging (RADAR) enables environmental perception regardless of lighting conditions, they face...