Intelligent Vehicles - Revision history

Slawek at 07:36, 15 September 2015

2015-09-15T07:36:16Z

Gaugun at 14:58, 21 May 2014

2014-05-21T14:58:32Z

Gaugun at 09:28, 21 May 2014

2014-05-21T09:28:38Z

Gaugun at 15:48, 19 May 2014

2014-05-19T15:48:44Z

Gaugun at 14:49, 19 May 2014

2014-05-19T14:49:22Z

Slawek at 09:23, 15 May 2014

2014-05-15T09:23:55Z

Slawek at 09:21, 15 May 2014

2014-05-15T09:21:10Z

Yuafan at 17:06, 14 May 2014

2014-05-14T17:06:39Z

Yuafan at 17:02, 14 May 2014

2014-05-14T17:02:40Z

10.0.2.2: Created page with "{{Infobox |title = Intelligent Vehicles Group |header1 = Research in Intelligent Vehicles |header2 = CAISR |header3 = |header4 = '''Contact:''' Roland Philippsen..."

2014-03-07T11:47:10Z

Created page with "{{Infobox |title = Intelligent Vehicles Group |header1 = Research in Intelligent Vehicles |header2 = CAISR |header3 = |header4 = '''Contact:''' Roland Philippsen..."

New page

{{Infobox
|title = Intelligent Vehicles Group
|header1 = Research in Intelligent Vehicles
|header2 = [[CAISR]]
|header3 =
|header4 = '''Contact:''' [[Roland Philippsen]]
}}

== Funding and Partners ==
{| class="wikitable"
|-
! Funding Agencies !! Academic & Research Institutions !! Industrial Partners
|-
| European Commission (CORDIS - Seventh Framework Programme) || Örebro University || Autoliv
|-
| KK-stiftelsen || University of Skövde || Volvo Group Trucks Technology
|-
| Vinnova || SP Technical Research Institute of Sweden || Toyota Material Handling Europe AB
|-
| || Chalmers University of Technology || Optronic Partner dp AB
|-
| || VTI (the Swedish National Road and Transport Research Institute) || Kollmorgen Särö AB
|-
| || TNO || Volvo Car Corporation
|-
| || Institut de Robòtica i Informàtica Industrial ||
|}

== People ==
{{#ask: [[Category:Staff]] [[ApplicationArea::Intelligent Vehicles]]
| ?firstName | ?lastName
| format=ul
}}

* Jawad Masood

== Projects ==

{{#ask: [[Category:ResearchProject]] [[ApplicationArea::Intelligent Vehicles]] [[ProjectEnd::≥{{CURRENTYEAR}}/{{CURRENTMONTH}}/{{CURRENTDAY}}]]
| ?ContactInformation
| ?ShortDescription
}}

=== [[AIMS]] (Automatic Inventory and Mapping of Stock) ===
[[File:Aims semantic.png|thumb|caption|"AIMS"]]
An intelligent warehouse environment that autonomously builds a map of articles in a warehouse and relates article identity from the warehouse database with the article’s position (metric) and visual appearance in the warehouse.
* Intelligent warehouse: identity, location, and appearance of articles
** recognition and clustering
** 3D perception
** localization, mapping and map maintenance

=== [[Cargo ANTs]] ===
[[File:Cargo-ANTS.png|thumb|caption|"Cargo ANTs"]]
* automated cargo handling ITS
* AGVs at trucks in ports and terminals
* multi-vehicle path planning and adaptation

=== [[fuelFEET]] (Fuel FOT Energy Efficient Transport) ===
[[File:FuelFEET.png|thumb|caption|"fuelFEET"]]
Explore factors affecting fuel consumption.
* Fuel FOT Energy Efficient Transport
* which fuel consumption factors can be influenced by the driver or fleet owner?

=== [[InnoMerge]] ===
[[File:InnoMerge.png|thumb|caption|"InnoMerge"]]
* transfer to and from emerging markets
* uptime & safety
* diagnostics, maintenance, monitoring

=== [[FFI NG-TEST]] (Next Generation Test) ===
[[File:NGtest-logo-800x322.jpg|thumb|caption|"NG Test"]]
Next Generation Test Methods for Active Safety Functions. "NG TEST" aims to move parts of the verification and validation of active safety functions from the proving ground to a complete or partly virtual environment.
validated virtual testing of next-generation ADAS:
* CPS modeling, executable math for requirement specification.
* real-time positioning, rapid accurate positioning on test tracks.

=== [[NHCT]] (Non-Hit Car & Truck) ===
[[File:NHCT.png|thumb|caption|"Non-Hit Car & Truck"]]
* Reduce accident risks beyond current ADAS capabilities
* Combine the growing type and amount of available sensor data
* we consult on motion generation (joint IV 2013 paper)

=== [[ReDi2Service]] ===
[[File:R2S.png|thumb|caption|"ReDi2Service"]]
Algorithms for self-monitoring vehicles, capable of discovering and describing their own operation, as well as detecting deviations from the norm. Data mining across many data streams available on-board a modern truck or bus. Comparing discovered relations across the whole fleet. Faults and component wear can be discovered early and continuously monitored.
* Remote Diagnostic Tools and Services
* self-monitor operation and deviations
* data mining: on-board, maintenance logs, driver comments, engineering expertise

=== [[V-Charge]] ===
[[File:V-Charge.png|thumb|caption|"V-Charge"]]
Autonomous navigation in parking structures using consumer car sensor.
Halmstad University is involved in V-Charge indirectly by supervising PhD student.
External [http://www.v-charge.eu/ link] to V-Charge webpage.

=== [[VPMS]] ===
[[File:VPMS.png|thumb|caption|"VPMS"]]
* behavioral outliers wrt fleet
* on-board data analysis
* log “around” stress-indicating events

@@ Line 4: / Line 4: @@
 |header2 = [[CAISR]]
 |header3 =
-|header4 = '''Contact:''' [[Roland Philippsen]], [[Björn Åstrand]], [[Sławomir Nowaczyk]], [[Stefan Byttner]]
+|header4 = '''Contact:''' [[Björn Åstrand]], [[Sławomir Nowaczyk]], [[Stefan Byttner]]
 }}

@@ Line 7: / Line 7: @@
 }}
-== People ==
+Our research focuses on situation- as well as self- awareness. Situation awareness is relevant for things like autonomous driving, active safety systems, and intelligent material handling. Self-awareness is essential for making operations more efficient, for example regarding fuel consumption, on-board diagnostics, or predictive maintenance.
 == Projects ==
@@ Line 19: / Line 15: @@
 | ?ShortDescription
 }}
 === [[AIMS]] (Automatic Inventory and Mapping of Stock) ===
@@ Line 80: / Line 102: @@
 === [[VASCO]] ===
 Interactive and Dynamic Mapping of work-yards. We aim to develop tools in order to construct and maintain a semantic map of a dynamic work environment like a harbor to facilitate automation tasks with interaction from users on-site.

@@ Line 78: / Line 78: @@
 * Data analysis with special focus on developing Component Degradation Models.
-=== [[Vasco]] ===
+=== [[VASCO]] ===
 Interactive and Dynamic Mapping of work-yards. We aim to develop tools in order to construct and maintain a semantic map of a dynamic work environment like a harbor to facilitate automation tasks with interaction from users on-site.

@@ Line 77: / Line 77: @@
 * on-board data stream mining
 * Data analysis with special focus on developing Component Degradation Models.
 == Funding and Partners ==

@@ Line 6: / Line 6: @@
 |header4 = '''Contact:''' [[Roland Philippsen]]
 }}
 == People ==
@@ Line 97: / Line 77: @@
 * on-board data stream mining
 * Data analysis with special focus on developing Component Degradation Models.

@@ Line 32: / Line 32: @@
 | format=ul
 }}
 == Projects ==

@@ Line 76: / Line 76: @@
 === [[VICTIg]] (Vehicle ICT Innovation Methodology) ===
-[[File: VICTIg .jpg|thumb|caption|"VICTIg"]]
+[[File: VICTIg.jpg|thumb|caption|"VICTIg"]]
-* Reduce accident risks beyond current ADAS capabilities
+* Software intense ICT functions testing
-* Combine the growing type and amount of available sensor data
+* Test software function of vehicle cooperative, automated and assisted vehicle driving.
-* we consult on motion generation (joint IV 2013 paper)
+* Develop different level of driving simulation
 === [[ReDi2Service]] ===

@@ Line 75: / Line 75: @@
 * real-time positioning, rapid accurate positioning on test tracks.
-=== [[NHCT]] (Non-Hit Car & Truck) ===
+=== [[VICTIg]] (Vehicle ICT Innovation Methodology) ===
-[[File:NHCT.png|thumb|caption|"Non-Hit Car & Truck"]]
+[[File: VICTIg .jpg|thumb|caption|"VICTIg"]]
 * Reduce accident risks beyond current ADAS capabilities
 * Combine the growing type and amount of available sensor data
@@ Line 94: / Line 94: @@
 External [http://www.v-charge.eu/ link] to V-Charge webpage.
-=== [[VPMS]] ===
+=== [[In4Uptime]] ===
-[[File:VPMS.png|thumb|caption|"VPMS"]]
+[[File:In4Uptime.png|thumb|caption|"In4Uptime"]]
-* behavioral outliers wrt fleet
+* Vehicle diagnostics and predictive maintenance
-* on-board data analysis
+* on-board data stream mining
-* log “around” stress-indicating events
+* Data analysis with special focus on developing Component Degradation Models.