Perception system design is a vital step in the development of an autonomous vehicle (AV).
With the vast selection of available off-the-shelf schemes and seemingly endless options of …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Fusing probabilistic information is a fundamental task in signal and data processing with
relevance to many fields of technology and science. In this work, we investigate the fusion of …

Collision avoidance is a critical task in many applications, such as ADAS (advanced driver-
assistance systems), industrial automation and robotics. In an industrial automation setting …

We present an uncertainty learning framework for dense neural simultaneous localization
and mapping (SLAM). Estimating pixel-wise uncertainties for the depth input of dense SLAM …

This paper focuses on data fusion, which is fundamental to one of the most important
modules in any autonomous system: perception. Over the past decade, there has been a …

Autonomous robots that assist humans in day to day living tasks are becoming increasingly
popular. Autonomous mobile robots operate by sensing and perceiving their surrounding …

Leveraging the disparity information from both left and right views is crucial for stereo
disparity estimation. Left-right consistency check is an effective way to enhance the disparity …

Metasurfaces have the potential to revolutionize imaging technologies due to their extreme
control of phase, polarization, and amplitude of the incident light. They rely upon enhanced …

Commercialization of autonomous vehicle technology is a major goal of the automotive
industry, thus research in this space is rapidly expanding across the world. However, despite …