Dynamic obstacle avoidance is one crucial component for compliant navigation in crowded
environments. In this paper we present a system for accurate and reliable detection and …

Estimating the states of surrounding traffic participants stays at the core of autonomous
driving. In this paper, we study a novel setting of this problem: model-free single-object …

Conventional map-matching (MM) algorithms take blind eyes to the complexity in realistic
traffic conditions and hence present significant limitations in distinguishing the detailed …

In this paper, we propose a complete pipeline for high quality reconstruction of dynamic
objects using 2D-3D camera setup attached to a moving vehicle. Starting from the …

This chapter delves into the pivotal role of machine vision and image processing in the
realm of artificial intelligence for industrial robotics and intelligent drones. It begins by …

This chapter addresses the critical issues of safety, ethics, and regulation surrounding the
deployment of AI in industrial robotics and intelligent drones. It highlights the importance of …

In this paper, we present a 3D reconstruction and enhancement approach for high quality
dynamic city scene reconstructions. We first detect and segment the moving objects using …

This paper presents an improved scheme for forward-looking sonar (FLS) visualization,
including an echo acquisition method, a global threshold based on local outlier factor and a …

In this paper, we propose an approach to non-contact measurement of the geometric
parameters of large-sized objects based on laser triangulation. The proposed approach can …

There are many possible applications for reconstruction technologies. Specialists in
dentistry, architecture, robotics and building use these technologies to solve the modern …