A single-camera stereo omnidirectional system (SOS) is applied for estimating egomotion in real-world environments.
We present the advantages of a single-camera stereo omnidirectional system (SOS) in estimating egomotion in real-world environments.
We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single omnidirectional camera moving in an unfamiliar environment.
GUMS is a complete projection model for omnidirectional stereo vision systems. GUMS is based on the existing generalized unified model (GUM), which we extend for fixed baseline sensors.
We describe the design and 3D sensing performance of an omnidirectional stereo (omnistereo) vision system applied to Micro Aerial Vehicles (MAVs).
We introduce a catadioptric single-camera omnistereo vision system that uses a pair of custom-designed mirrors (in a folded configuration) satisfying the single view point (SVP) property as a good solution to the perception challenge of MAVs.
In 2011, a new intelligent ground vehicle CATA (City Autonomous Transportation Agent) was rebuilt to employ the ROS framework to participate in IGVC.
In 2010, our intelligent ground vehicle CityALIEN participated and won the IGVC Design Challenge.