Refine
Year of publication
Document Type
- Article (388)
- Conference Proceeding (223)
- Part of a Book (45)
- Book (31)
- Moving Images (26)
- Working Paper (18)
- Other (10)
- Doctoral Thesis (2)
- Master's Thesis (2)
- Bachelor Thesis (1)
Language
- English (749) (remove)
Keywords
- Sustainability (6)
- physiotherapy (6)
- Nutritional footprint (5)
- Danube (4)
- Electroporation (4)
- Lemnaceae (4)
- PEF (4)
- Public Health (4)
- Sustainable nutrition (4)
- Ultrasound (4)
Institute
- Fakultät WiSo (367)
- Fakultät AuL (264)
- Fakultät IuI (58)
- Institut für Management und Technik (30)
- Institut für Duale Studiengänge (23)
- Institut für Kommunikationsmanagement (4)
- Fakultät MKT (2)
- Institut für Musik (1)
- Präsidium Hochschule Osnabrück (1)
This paper describes the development and test of a novel LiDAR based combine harvester steering system using a harvest scenario and sensor point cloud simulation together with an established simulation toolchain for embedded software development. For a realistic sensor behavior simulation, considering the harvesting environment and the sensor mounting position, a phenomenological approach was chosen to build a multilayer LiDAR model at system level in Gazebo and ROS. A software-in-the-loop simulation of the mechatronic steering system was assembled by interfacing the commercial AppBase framework for point cloud processing and feature detection algorithms together with a machine model and control functions implemented in MATLAB/ Simulink. A test of ECUs in a hardware-in-the-loop simulation and as well as HMI elements in a driver-in-the-loop simulation was achieved by using CAN hardware interfaces and a CANoe based restbus simulation.