SAS2 - Revision history

Slawek at 14:23, 13 October 2017

2017-10-13T14:23:24Z

Slawek at 14:21, 13 October 2017

2017-10-13T14:21:10Z

Slawek at 14:20, 13 October 2017

2017-10-13T14:20:44Z

BjornAstrand at 14:47, 22 September 2017

2017-09-22T14:47:26Z

BjornAstrand: Created page with "{{ResearchProjInfo |Title=SAS2 – Situation Aware Safety Systems |ContactInformation=Björn Åstrand |Description=The goal with this project is to develop a safety system tha..."

2017-09-22T14:46:31Z

Created page with "{{ResearchProjInfo |Title=SAS2 – Situation Aware Safety Systems |ContactInformation=Björn Åstrand |Description=The goal with this project is to develop a safety system tha..."

New page

{{ResearchProjInfo
|Title=SAS2 – Situation Aware Safety Systems
|ContactInformation=Björn Åstrand
|Description=The goal with this project is to develop a safety system that better can handle the complexity in the environments where AGV systems operates.

The approach is to use 3D perception along with methods for detect, track and identify objects in the environment, such as actions of moving objects can be foreseen and concerns can be made based on objects identities (humans and other trucks/AGVs).

|ProjectResponsible=Björn Åstrand
|ApplicationArea=Mechatronics
}}
{{AssignPublicationProject
|Publication=Hedenberg, Klas & Åstrand, Björn, 3D Sensors on Driverless Trucks for Detection of Overhanging Objects in the Pathway, Autonomous Industrial Vehicles : From the Laboratory to the Factory Floor., s. 41-56, 2016
}}
{{AssignProjPartner
|projectpartner=Volvo Group - Trucks Technology - Advanced Technology and Research
}}
{{AssignProjPartner
|projectpartner=Fotonic AB
}}
{{AssignProjPartner
|projectpartner=Toyota Material Handling Europe
}}
{{AssignProjPartner
|projectpartner=Kollmorgen Automation AB
}}
Research and development are done in three different areas:

Adaptive Warning fields: How to automatically construct and represent a volume of interests for safe traverse of the driverless truck? What sensors to use and how to integrate information from different sources, e.g. other sensors and maps (multi-layer)?

Tracking, Prediction, Identification and Reasoning: How to improve the performance of a safety system of a driverless truck by leveraging the system awareness by incorporating new functionalities as identification and tracking of objects/agents?

Benchmarking: How to evaluate and benchmark the performance of a safety system solution on a driverless truck for object detection and protection?

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 The approach is to use 3D perception along with methods for detect, track and identify objects in the environment, such as actions of moving objects can be foreseen and concerns can be made based on objects identities (humans and other trucks/AGVs).
 |ProjectResponsible=Björn Åstrand
 |ProjectStart=2016/01/01

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 |projectpartner=Kollmorgen Automation AB
 }}
 Research and development are done in three different areas:

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 {{ResearchProjInfo
-|Title=SAS2 – Situation Aware Safety Systems
+|Title=SAS2
 |ContactInformation=Björn Åstrand
 |Description=The goal with this project is to develop a safety system that better can handle the complexity in the environments where AGV systems operates.