Methods of Evaluating 3D Perception Systems for Unstructured Autonomous Logistics

Autonomous Gait Planning for a Hexapod Robot in Unstructured Environments based on 3D Terrain Perception

Legged robots have extremely important applications in unstructured environments, e.g. accomplishing rescuing and detecting tasks in the earthquake and nuclear accidents instead of human beings. In such environments, legged robots must have the potential to plan gaits autonomously based on the site environment without detailed instructions from a human operator. In this paper, we present an aut...

1.1 Strategic decisions for autonomous logistics systems

1.1.1 Introduction Logistics management is currently facing major challenges. The integration of the value chain and the growing importance of spatially and organi-sationally distributed production networks strongly increase the need for logistical coordination. Growing customer orientation requires product customization and increased responsiveness in order delivery, thereby raising flexibilit...

Shared Perception for Autonomous Systems

A classification pattern for autonomous control methods in logistics

Autonomous control in logistics enables single logistics objects to control the production and transportation process. This shift from central planning to decentralized control in real-time offers many possibilities to cope with highly dynamic and complex systems. The algorithms that define the decision behavior of each logistics object, autonomous control methods, play a key role in the succes...

Lane Detection in Unstructured Environments for Autonomous Navigation Systems

Automatic lane detection is an essential component for autonomous navigation systems. It is a challenging task in unstructured environments where lanes vary significantly in appearance and are not indicated by painted markers. This paper proposes a new method to detect pedestrian lanes that have no painted markers in indoor and outdoor scenes, under different illumination conditions. Our method...