WSCG 2026 - 34. International Conference in Central Europe
on Computer Graphics, Visualization and Computer Vision 2026
Prague/Pilsen, Czech Republic
http://www.wscg.cz
Special workshops organizer:
Redouane
KHEMMAR [0000-0002-6230-2966]
Email: redouane.khemmar@esigelec.fr
Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM),
France
Accepted and presented papers at WSCG 2026 will be published
in
Computer Science Research Notes with an individual DOI.
Author instructions:
Submission: via WSCG 2026 submission server: http://wscgreg.zcu.cz/
Submission dates: same as the WSCG full papers
Authors instructions: http://www.wscg.cz/inpage/authors-instructions/
The paper code (obtained in registration) and title must to be sent to the
workshop organizer
(this ensures proper review allocations)
(including a PDF anonymous version is recommended)
Motivation:
In the coming years, autonomous systems — including mobile robots, cars,
drones, trains, and boats — will become deeply embedded in everyday life,
transforming smart mobility. Effective autonomous navigation depends on three
core capabilities: perception, decision making, and action execution. By
accurately sensing and interpreting the environment, a vehicle can make
informed decisions and carry out safe, comfortable, and efficient maneuvers. As
these systems mature, new challenges arise that require innovations across both
software and hardware.
We seeks original contributions that address these challenges and accelerate the deployment of autonomous vehicles. We welcome theoretical advances, experimental results, and practical case studies that advance safety, passenger comfort, and energy efficiency. Topics of interest include, but are not limited to: real-time embedded systems for autonomy, methods for achieving very high localization and control accuracy, energy-aware architectures and algorithms, robust decision-making under uncertainty, and high-performance actuation and control strategies for real-world deployment. Submissions that include reproducible evaluations, datasets, or field trials are especially encouraged
Scope:
We welcomes original research, case studies, datasets, and experimental reports
that advance the theory, algorithms, systems, and deployment of autonomous
vehicles and mobile robotic systems. Topics span perception, decision-making,
control, system architectures, data handling, connectivity, and validation for
real-world smart mobility. Contributions that include reproducible code, open
datasets, and field trials are especially encouraged.
Topics of interest (including, but not limited to):
· Environment perception: techniques that enable autonomous vehicles to accurately perceive and understand their surroundings.
· Object detection & tracking: robust algorithms for detecting and tracking pedestrians, vehicles, cyclists, static obstacles, and other dynamic entities.
· Semantic segmentation & scene understanding: methods to label and reason about semantic elements in complex urban and off-road scenes.
· Localization: Investigating techniques and methods for accurately determining the vehicle's precise position in real time.
· Autonomous navigation: Designing intelligent systems and algorithms that enable vehicles to navigate autonomously in various scenarios and terrains.
· Multi-sensor fusion systems: architectures and algorithms that integrate LiDAR, radar, cameras, IMUs, and other modalities to improve reliability and robustness.
· Datasets and scientific experiments: Creating and utilizing large-scale datasets for training and evaluating autonomous vehicle systems.
· Connected vehicles & V2X: Exploring the integration of autonomous vehicles with the surrounding infrastructure and other connected vehicles.
· Safety, validation & ethics: verification, validation and testing methodologies, assurance cases, regulatory considerations, privacy, and ethical implications of deployment.
·
High-quality, original research papers in the following
overlapping fields:
Artificial intelligence, machine learning, and deep learning; Reinforcement
learning; Environment perception; Cooperative, augmented, and agnostic
perception; Object detection, localization, and mapping; Connected and
cooperative vehicles; Real-time tracking; Semantic segmentation; Scene analysis
and understanding; End-to-end driving systems; Security, privacy, and safety
systems; Multisensor fusion systems; V2X communications and networks; Embedded
systems; Traffic modeling; Autonomous vehicle and user interactions.
Recommended keywords for a paper (not compulsory):
Environment perception; Object detection; Deep learning; Artificial
intelligence; Object tracking; Mobile robotics; Localization; Autonomous
vehicles; Scene analysis and understanding; Smart mobility.
Last update: 2025-11-17