Monocular camera and laser based semantic mapping system with temporal-spatial data association for indoor mobile robots

Abstract

In the future, the goal of service robots is to operate in human-centric indoor environments, requiring close cooperation with humans. In order to enable the robot to perform various interactive tasks, it is necessary for robots to perceive and understand environments from a human perspective. Semantic map is an augmented representation of the environment, containing both geometric information and high-level qualitative features. It can help the robot to comprehensively understand the environment and bridge the gap in human-robot interaction. In this paper, we propose a unified semantic mapping system for indoor mobile robots. This system utilizes the techniques of scene classification and object detection to construct semantic representations of indoor environments by fusing the data of a camera and a laser. In order to improve the accuracy of semantic mapping, the temporal-spatial correlation of semantics is leveraged to realize data association of semantic maps. Also, the proposed semantic mapping system is scalable and portable, which can be applied to different indoor scenarios. The proposed system was evaluated with collected datasets captured in indoor environments. Extensive experimental results indicate that the proposed semantic mapping system exhibits great performance in the robustness and accuracy of semantic mapping.

Underwater target laser polarization suppression scattering detection technology and verification

“…In the late 1960s, Hickman and Hogg from Syracuse University in the United States developed the first laser seawater detection system, using it to verify the feasibility of laser depth measurement and laying the initial theoretical and experimental foundations for underwater laser detection technology [6]. In 2012, Canada's Optech Corporation successfully developed the CZM airborne laser depth measurement system, a new generation of deep water and coastal terrain detection systems characterized by high spatial resolution, large optical aperture, and adaptability to poor water quality [7]. In 2021, Li et al [8] developed a modulated subnanosecond laser radar for underwater target detection, capable of emitting stable and powerful modulated signals, greatly extending the range of underwater detection.…”