The evolution of production systems has established major challenges in internal logistics.
In order to overcome these challenges, new automation solutions have been developed and …

Computer vision applications in transportation logistics and warehousing have a huge
potential for process automation. We present a structured literature review on research in the …

Salient object detection (SOD) has achieved remarkable performance in natural scene
images (NSIs). However, current SOD methods still face serious challenges in processing …

This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

Automated guided vehicles (AGV) allow for the automation of operations in warehouse
environments. From an application point of view, vehicles can use sensors to move and …

Integrating a robotic system into the depalletizing process of a supermarket demands a high
level of autonomy, based on strong perceptive capabilities. This letter presents a system for …

Deep-learning-based approaches have proven to outperform other approaches in various
computer vision tasks, making application-focused machine learning a promising area of …

As an important tool for loading, unloading, and distributing palletized goods, forklifts are
widely used in different links of industrial production process. However, due to the rapid …

Pallet pose estimation is one of the key technologies for automated fork pickup of driverless
industrial trucks. Due to the complex working environment and the enormous amount of …

This paper presents a novel approach of pallet identification and localization algorithm
(PILA) based on RGB image and depth data. The algorithm is implemented in C++ for real …