---
_id: '12167'
abstract:
- lang: eng
text: 'Deployment of Level 3 and Level 4 autonomous vehicles (AVs) in urban environments
is significantly constrained by adverse weather conditions, limiting their operation
to clear weather due to safety concerns. Ensuring that AVs remain within their
designated Operational Design Domain (ODD) is a formidable challenge, making boundary
monitoring strategies essential for safe navigation. This study explores the critical
role of an ODD monitoring system (OMS) in addressing these challenges. It reviews
various methodologies for designing an OMS and presents a comprehensive visualization
framework incorporating trigger points for ODD exits. These trigger points serve
as essential references for effective OMS design. The study also delves into a
specific use case concerning ODD exits: the reduction in road friction due to
adverse weather conditions. It emphasizes the importance of contactless computer
vision-based methods for road condition estimation (RCE), particularly using vision
sensors such as cameras. The study details a timeline of methods involving classical
machine learning and deep learning feature extraction techniques, identifying
contemporary challenges such as class imbalance, lack of comprehensive datasets,
annotation methods, and the scarcity of generalization techniques. Furthermore,
it provides a factual comparison of two state-of-the-art RCE datasets. In essence,
the study aims to address and explore ODD exits due to weather-induced road conditions,
decoding the practical solutions and directions for future research in the realm
of AVs.'
article_type: original
author:
- first_name: Ramakrishnan
full_name: Subramanian, Ramakrishnan
id: '85499'
last_name: Subramanian
- first_name: Ulrich
full_name: Büker, Ulrich
id: '81453'
last_name: Büker
orcid: 0000-0002-4403-3889
citation:
ama: 'Subramanian R, Büker U. Study of Contactless Computer Vision-Based Road Condition
Estimation Methods Within the Framework of an Operational Design Domain Monitoring
System. Eng : advances in engineering. 2024;5(4):2778-2804. doi:10.3390/eng5040145'
apa: 'Subramanian, R., & Büker, U. (2024). Study of Contactless Computer Vision-Based
Road Condition Estimation Methods Within the Framework of an Operational Design
Domain Monitoring System. Eng : Advances in Engineering, 5(4), 2778–2804.
https://doi.org/10.3390/eng5040145'
bjps: 'Subramanian R and Büker U (2024) Study of Contactless Computer Vision-Based
Road Condition Estimation Methods Within the Framework of an Operational Design
Domain Monitoring System. Eng : advances in engineering 5, 2778–2804.'
chicago: 'Subramanian, Ramakrishnan, and Ulrich Büker. “Study of Contactless Computer
Vision-Based Road Condition Estimation Methods Within the Framework of an Operational
Design Domain Monitoring System.” Eng : Advances in Engineering 5, no.
4 (2024): 2778–2804. https://doi.org/10.3390/eng5040145.'
chicago-de: 'Subramanian, Ramakrishnan und Ulrich Büker. 2024. Study of Contactless
Computer Vision-Based Road Condition Estimation Methods Within the Framework of
an Operational Design Domain Monitoring System. Eng : advances in engineering
5, Nr. 4: 2778–2804. doi:10.3390/eng5040145,
.'
din1505-2-1: 'Subramanian, Ramakrishnan
; Büker, Ulrich: Study of Contactless
Computer Vision-Based Road Condition Estimation Methods Within the Framework of
an Operational Design Domain Monitoring System. In: Eng : advances in engineering
Bd. 5. Basel, MDPI AG (2024), Nr. 4, S. 2778–2804'
havard: 'R. Subramanian, U. Büker, Study of Contactless Computer Vision-Based Road
Condition Estimation Methods Within the Framework of an Operational Design Domain
Monitoring System, Eng : Advances in Engineering. 5 (2024) 2778–2804.'
ieee: 'R. Subramanian and U. Büker, “Study of Contactless Computer Vision-Based
Road Condition Estimation Methods Within the Framework of an Operational Design
Domain Monitoring System,” Eng : advances in engineering, vol. 5, no. 4,
pp. 2778–2804, 2024, doi: 10.3390/eng5040145.'
mla: 'Subramanian, Ramakrishnan, and Ulrich Büker. “Study of Contactless Computer
Vision-Based Road Condition Estimation Methods Within the Framework of an Operational
Design Domain Monitoring System.” Eng : Advances in Engineering, vol. 5,
no. 4, 2024, pp. 2778–804, https://doi.org/10.3390/eng5040145.'
short: 'R. Subramanian, U. Büker, Eng : Advances in Engineering 5 (2024) 2778–2804.'
ufg: 'Subramanian, Ramakrishnan/Büker, Ulrich: Study of Contactless Computer
Vision-Based Road Condition Estimation Methods Within the Framework of an Operational
Design Domain Monitoring System, in: Eng : advances in engineering 5 (2024),
H. 4, S. 2778–2804.'
van: 'Subramanian R, Büker U. Study of Contactless Computer Vision-Based Road Condition
Estimation Methods Within the Framework of an Operational Design Domain Monitoring
System. Eng : advances in engineering. 2024;5(4):2778–804.'
date_created: 2024-12-04T16:46:30Z
date_updated: 2024-12-05T13:19:17Z
department:
- _id: DEP5023
- _id: DEP5000
doi: 10.3390/eng5040145
intvolume: ' 5'
issue: '4'
keyword:
- autonomous vehicles
- operational design domain
- computer vision
- machine learning
- road surface detection
language:
- iso: eng
page: 2778-2804
place: Basel
publication: 'Eng : advances in engineering'
publication_identifier:
eissn:
- 2673-4117
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Study of Contactless Computer Vision-Based Road Condition Estimation Methods
Within the Framework of an Operational Design Domain Monitoring System
type: scientific_journal_article
user_id: '83781'
volume: 5
year: '2024'
...
---
_id: '13003'
abstract:
- lang: eng
text: "In light of the rising importance of data transparency and open data guidelines
(e.g. OGP Local1), Open Data Portals became standard in Smart City strategies
(Van Oosterhout et al. 2020). While it is clear that these tools can serve as
a valuable way for internal administration processes, at the same time it is critical
that data is not only openly available following standard formats limited to computer-readability
but above all also largely understandable for average citizens. For this reason,
it is researched how open data can not only be made available but also visualized
in an accessible way to all citizens. Moreover, the aim is to simultaneously boost
private behavior changes which are inevitable to achieve locally-set goals in
sustainability (Barr et al. 2011, TWI 2050 2018). To do so, we draw on the principle
of nudging. Following\r\nthe tradition of behavioral economics, nudging is defined
as a positive intervention that induces a voluntary change in behavior without
resulting in external (negative) consequences (Thaler & Sunstein 2008) and thus
contrasting interventions like commands or bans because freedom of choice is maintained
(Mongin & Cozic 2020, Ranchordás 2020).\r\nThis paper discusses an installation
that explored the potential of combining nudging and situated visualization to
improve data transparency and support individual decision-making in urban public
spaces. During the Detmold Design Week 2023, an event showcasing creative works
in various locations, the visitor numbers at nine locations were captured using
computer vision. Visitors then received on-site suggestions in real-time for the
next place to visit based on the occupancy. A survey was conducted to evaluate
visitors’ willingness to follow these data-informed suggestions. Findings highlight
the importance of balancing between simplicity, relevance and privacy in data
visualization. The results of the field test provide the foundation for the installation
of interactive interfaces in Detmold's public spaces in the next years, in particular
for communicating smart city topics focusing on mobility and urban climate protection."
author:
- first_name: Mareile
full_name: Licht, Mareile
id: '83590'
last_name: Licht
orcid: 0009-0001-2892-6767
- first_name: Amanda
full_name: Barbosa Jardim, Amanda
id: '76917'
last_name: Barbosa Jardim
- first_name: Maximilian
full_name: Müh, Maximilian
id: '74260'
last_name: Müh
- first_name: Axel
full_name: Häusler, Axel
id: '61520'
last_name: Häusler
orcid: 0009-0001-8565-8199
citation:
ama: 'Licht M, Barbosa Jardim A, Müh M, Häusler A. The Use of Situated Visualized
Data to Nudge Visitor’s Paths: A Case Study at the Detmold Design Week 2023.
(Schrenk M, Popovich T, Zeile Peter, et al., eds.). CORP - Competence Center
of Urban and Regional Planning ; 2024:645-653. doi:10.48494/REALCORP2024.9052'
apa: 'Licht, M., Barbosa Jardim, A., Müh, M., & Häusler, A. (2024). The Use
of Situated Visualized Data to Nudge Visitor’s Paths: a Case Study at the Detmold
Design Week 2023. In M. Schrenk, T. Popovich, Peter Zeile, P. Elisei, C. Beyer,
J. Ryser, & H. R. Kaufmann (Eds.), Keep on Planning for the Real World.
Climate Change calls for Nature-based Solutions and Smart Technologies : Proceedings
of REAL CORP 2024, 29th International Conference on Urban Development, Regional
Planning and Information Society (pp. 645–653). CORP - Competence Center
of Urban and Regional Planning . https://doi.org/10.48494/REALCORP2024.9052'
bjps: 'Licht M et al. (2024) The Use of Situated Visualized Data
to Nudge Visitor’s Paths: A Case Study at the Detmold Design Week 2023, Schrenk
M et al. (eds). Mannswörth: CORP - Competence Center of Urban and Regional Planning
.'
chicago: 'Licht, Mareile, Amanda Barbosa Jardim, Maximilian Müh, and Axel Häusler.
The Use of Situated Visualized Data to Nudge Visitor’s Paths: A Case Study
at the Detmold Design Week 2023. Edited by Manfred Schrenk, Tatiana Popovich, Peter
Zeile, Pietro Elisei, Clemens Beyer, Judith Ryser, and Hans Rüdiger Kaufmann.
Keep on Planning for the Real World. Climate Change Calls for Nature-Based
Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International
Conference on Urban Development, Regional Planning and Information Society .
Proceedings of International Conference on Urban Development, Regional Planning
and Information Society . Mannswörth: CORP - Competence Center of Urban and Regional
Planning , 2024. https://doi.org/10.48494/REALCORP2024.9052.'
chicago-de: 'Licht, Mareile, Amanda Barbosa Jardim, Maximilian Müh und Axel Häusler.
2024. The Use of Situated Visualized Data to Nudge Visitor’s Paths: a Case
Study at the Detmold Design Week 2023. Hg. von Manfred Schrenk, Tatiana Popovich, Peter
Zeile, Pietro Elisei, Clemens Beyer, Judith Ryser, und Hans Rüdiger Kaufmann.
Keep on Planning for the Real World. Climate Change calls for Nature-based
Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International
Conference on Urban Development, Regional Planning and Information Society .
Proceedings of International Conference on Urban Development, Regional Planning
and Information Society . Mannswörth: CORP - Competence Center of Urban and Regional
Planning . doi:10.48494/REALCORP2024.9052,
.'
din1505-2-1: 'Licht, Mareile ; Barbosa Jardim, Amanda ; Müh,
Maximilian ; Häusler, Axel
; Schrenk, M. ; Popovich,
T. ; Zeile, Peter ; Elisei, P. ; Beyer,
C. ; Ryser, J. ; Kaufmann,
H. R. (Hrsg.): The Use of Situated Visualized Data to Nudge Visitor’s
Paths: a Case Study at the Detmold Design Week 2023, Proceedings of International
Conference on Urban Development, Regional Planning and Information Society .
Mannswörth : CORP - Competence Center of Urban and Regional Planning , 2024'
havard: 'M. Licht, A. Barbosa Jardim, M. Müh, A. Häusler, The Use of Situated Visualized
Data to Nudge Visitor’s Paths: a Case Study at the Detmold Design Week 2023, CORP
- Competence Center of Urban and Regional Planning , Mannswörth, 2024.'
ieee: 'M. Licht, A. Barbosa Jardim, M. Müh, and A. Häusler, The Use of Situated
Visualized Data to Nudge Visitor’s Paths: a Case Study at the Detmold Design Week
2023. Mannswörth: CORP - Competence Center of Urban and Regional Planning
, 2024, pp. 645–653. doi: 10.48494/REALCORP2024.9052.'
mla: 'Licht, Mareile, et al. “The Use of Situated Visualized Data to Nudge Visitor’s
Paths: A Case Study at the Detmold Design Week 2023.” Keep on Planning for
the Real World. Climate Change Calls for Nature-Based Solutions and Smart Technologies :
Proceedings of REAL CORP 2024, 29th International Conference on Urban Development,
Regional Planning and Information Society , edited by Manfred Schrenk et al.,
CORP - Competence Center of Urban and Regional Planning , 2024, pp. 645–53, https://doi.org/10.48494/REALCORP2024.9052.'
short: 'M. Licht, A. Barbosa Jardim, M. Müh, A. Häusler, The Use of Situated Visualized
Data to Nudge Visitor’s Paths: A Case Study at the Detmold Design Week 2023, CORP
- Competence Center of Urban and Regional Planning , Mannswörth, 2024.'
ufg: 'Licht, Mareile u. a.: The Use of Situated Visualized Data to Nudge
Visitor’s Paths: a Case Study at the Detmold Design Week 2023, hg. von Schrenk,
Manfred u. a., Mannswörth 2024 (Proceedings of International Conference on Urban
Development, Regional Planning and Information Society ).'
van: 'Licht M, Barbosa Jardim A, Müh M, Häusler A. The Use of Situated Visualized
Data to Nudge Visitor’s Paths: a Case Study at the Detmold Design Week 2023. Schrenk
M, Popovich T, Zeile Peter, Elisei P, Beyer C, Ryser J, et al., editors. Keep
on Planning for the Real World. Climate Change calls for Nature-based Solutions
and Smart Technologies : Proceedings of REAL CORP 2024, 29th International Conference
on Urban Development, Regional Planning and Information Society . Mannswörth:
CORP - Competence Center of Urban and Regional Planning ; 2024. (Proceedings of
International Conference on Urban Development, Regional Planning and Information
Society ).'
conference:
end_date: 2025-04-17
location: Mannheim
name: '29th International Conference on Urban Development, Regional Planning and
Information Society '
start_date: 2025-04-15
date_created: 2025-06-23T11:29:27Z
date_updated: 2025-06-24T06:48:15Z
ddc:
- '910'
department:
- _id: DEP1055
doi: 10.48494/REALCORP2024.9052
editor:
- first_name: Manfred
full_name: Schrenk, Manfred
last_name: Schrenk
- first_name: Tatiana
full_name: Popovich, Tatiana
last_name: Popovich
- first_name: ' Peter'
full_name: Zeile, Peter
last_name: Zeile
- first_name: Pietro
full_name: Elisei, Pietro
last_name: Elisei
- first_name: Clemens
full_name: Beyer, Clemens
last_name: Beyer
- first_name: Judith
full_name: Ryser, Judith
last_name: Ryser
- first_name: Hans Rüdiger
full_name: Kaufmann, Hans Rüdiger
last_name: Kaufmann
has_accepted_license: '1'
keyword:
- Situated Visualisation
- Nudging
- Planning
- Computer Vision
- Human-computer interaction
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.researchgate.net/publication/381128096_The_Use_of_Situated_Visualized_Data_to_Nudge_Visitor's_Paths_a_Case_Study_at_the_Detmold_Design_Week_2023
oa: '1'
page: 645-653
place: Mannswörth
publication: 'Keep on Planning for the Real World. Climate Change calls for Nature-based
Solutions and Smart Technologies : Proceedings of REAL CORP 2024, 29th International
Conference on Urban Development, Regional Planning and Information Society '
publication_identifier:
eisbn:
- 978-3-9504945-3-2
eissn:
- 2521-3938
publication_status: published
publisher: 'CORP - Competence Center of Urban and Regional Planning '
quality_controlled: '1'
series_title: 'Proceedings of International Conference on Urban Development, Regional
Planning and Information Society '
status: public
title: 'The Use of Situated Visualized Data to Nudge Visitor’s Paths: a Case Study
at the Detmold Design Week 2023'
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '4094'
abstract:
- lang: eng
text: Projection-based assitive systems that guide users through assembly work are
on their way to industrial application. Previous research work investigated how
people can be supported with such systems. However, there has been little work
on the question on how to generate and author sequential instructions for assitive
systems. In this paper, we present a new concept and a prototypical implementation
of an assitive system that can be taught by demonstrating an assembly process.
By using a combination of RGB and depth cameras, we can generate an assembly instruction
of Lego Duplo bricks based on the demonstration of a user. This generated manual
can later on be used for assisting other users in the assembly process. By our
prototype system, we show the technological feasibility of assistive systems that
can learn from users.
author:
- first_name: Sebastian
full_name: Büttner, Sebastian
id: '61868'
last_name: Büttner
- first_name: Andreas
full_name: Peda, Andreas
id: '51144'
last_name: Peda
- first_name: Mario
full_name: Heinz, Mario
id: '68913'
last_name: Heinz
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Büttner S, Peda A, Heinz M, Röcker C. Teaching by Demonstrating – How Smart
Assistive Systems Can Learn from Users. In: 22nd International Conference on
Human-Computer Interaction. Vol 12203. Lecture Notes in Computer Science.
Springer; 2020:153-163. doi:https://doi.org/10.1007/978-3-030-50344-4_12'
apa: Büttner, S., Peda, A., Heinz, M., & Röcker, C. (2020). Teaching by Demonstrating
– How Smart Assistive Systems Can Learn from Users. 22nd International Conference
on Human-Computer Interaction, 12203, 153–163. https://doi.org/10.1007/978-3-030-50344-4_12
bjps: 'Büttner S et al. (2020) Teaching by Demonstrating – How Smart
Assistive Systems Can Learn from Users. 22nd International Conference on Human-Computer
Interaction, vol. 12203. Berlin: Springer, pp. 153–163.'
chicago: 'Büttner, Sebastian, Andreas Peda, Mario Heinz, and Carsten Röcker. “Teaching
by Demonstrating – How Smart Assistive Systems Can Learn from Users.” In 22nd
International Conference on Human-Computer Interaction, 12203:153–63. Lecture
Notes in Computer Science. Berlin: Springer, 2020. https://doi.org/10.1007/978-3-030-50344-4_12.'
chicago-de: 'Büttner, Sebastian, Andreas Peda, Mario Heinz und Carsten Röcker. 2020.
Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.
In: 22nd International Conference on Human-Computer Interaction, 12203:153–163.
Lecture Notes in Computer Science. Berlin: Springer. doi:https://doi.org/10.1007/978-3-030-50344-4_12,
.'
din1505-2-1: 'Büttner, Sebastian ;
Peda, Andreas ; Heinz,
Mario ; Röcker, Carsten:
Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.
In: 22nd International Conference on Human-Computer Interaction, Lecture
Notes in Computer Science. Bd. 12203. Berlin : Springer, 2020, S. 153–163'
havard: 'S. Büttner, A. Peda, M. Heinz, C. Röcker, Teaching by Demonstrating – How
Smart Assistive Systems Can Learn from Users, in: 22nd International Conference
on Human-Computer Interaction, Springer, Berlin, 2020: pp. 153–163.'
ieee: 'S. Büttner, A. Peda, M. Heinz, and C. Röcker, “Teaching by Demonstrating
– How Smart Assistive Systems Can Learn from Users,” in 22nd International
Conference on Human-Computer Interaction, Copenhagen, Denmark, 2020, vol.
12203, pp. 153–163. doi: https://doi.org/10.1007/978-3-030-50344-4_12.'
mla: Büttner, Sebastian, et al. “Teaching by Demonstrating – How Smart Assistive
Systems Can Learn from Users.” 22nd International Conference on Human-Computer
Interaction, vol. 12203, Springer, 2020, pp. 153–63, https://doi.org/10.1007/978-3-030-50344-4_12.
short: 'S. Büttner, A. Peda, M. Heinz, C. Röcker, in: 22nd International Conference
on Human-Computer Interaction, Springer, Berlin, 2020, pp. 153–163.'
ufg: 'Büttner, Sebastian u. a.: Teaching by Demonstrating – How Smart Assistive
Systems Can Learn from Users, in: o. Hg.: 22nd International Conference on Human-Computer
Interaction, Bd. 12203, Berlin 2020 (Lecture Notes in Computer Science), S. 153–163.'
van: 'Büttner S, Peda A, Heinz M, Röcker C. Teaching by Demonstrating – How Smart
Assistive Systems Can Learn from Users. In: 22nd International Conference on Human-Computer
Interaction. Berlin: Springer; 2020. p. 153–63. (Lecture Notes in Computer Science;
vol. 12203).'
conference:
end_date: 2020-07-24
location: Copenhagen, Denmark
name: 22nd International Conference on Human-Computer Interaction
start_date: 2020-07-19
date_created: 2020-11-26T14:10:00Z
date_updated: 2025-06-26T08:59:53Z
department:
- _id: DEP5023
doi: https://doi.org/10.1007/978-3-030-50344-4_12
intvolume: ' 12203'
keyword:
- Assitive system
- Authoring
- Instruction generation
- Computer vision
- Teaching by demonstration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-3-030-50344-4_12
oa: '1'
page: 153-163
place: Berlin
publication: 22nd International Conference on Human-Computer Interaction
publication_identifier:
eisbn:
- 978-3-030-50344-4
isbn:
- 978-3-030-50343-7
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users
type: conference
user_id: '83781'
volume: 12203
year: '2020'
...