Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

The development of a navigation system is one of the major challenges in building a fully
autonomous platform. Full autonomy requires a dependable navigation capability not only in …

Drones have achieved great success in research and development and in many industrial
fields in the last five years, and there are enormous expectations for their further utilization. It …

In this paper, we present the Trifo Visual Inertial Odometry (Trifo-VIO), a tightly-coupled
filtering-based stereo VIO system using both points and lines. Line features help improve …

In this study, we introduce an online monocular lane mapping approach that solely relies on
a single camera and odometry for generating spline-based maps. Our proposed technique …

In rockfall hazard management, the investigation and detection of potential rockfall source
areas on rock cliffs by remote-sensing-based susceptibility analysis are of primary …

Localization and mapping in a dynamic scene is a crucial problem for the indoor visual
simultaneous localization and mapping (SLAM) system. Most existed visual odometry (VO) …

This work proposes a novel, learning-based method to leverage navigation time
performance of unmanned aerial vehicles in dense environments by planning swift …

Localization in unknown environments is a fundamental requirement for robots. Egomotion
estimation based on visual information is a hot research topic. However, most visual …

Combining cameras and inertial measurement units (IMUs) has been proven effective in
motion tracking, as these two sensing modalities offer complementary characteristics that …