Embedded Files
IEEE IV Workshop ITSIVUE 2024
About the Workshop
About the Workshop
The 4th Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments will be held on June 2, 2024 as part of the Workshops at 35th IEEE Intelligent Vehicle Symposium (IV) , 2024 at Jeju Island, Korea.
Date; 2nd June 2024
Time: 1:00 - 4:30 p.m. Korea Time/ 9:30 a.m - 1:00 p.m. India time/ 6:00 - 9:30 a.m Europe Time
Schedule
Keynote Address
Keynote Address
Invited Speakers
Invited Speakers
Dr. Javier Ibanez -Guzman
Renault, Paris
Prof. Miguel A. Sotelo
University of Alcalá
Prof. Santanu Chaudhury
Indian Institute Technology Delhi, India
Past Workshops
The 1st Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE2020) was held in virtual mode on November 6, 2020 as part of the Workshops at 31st IEEE Intelligent Vehicle Symposium (IV), 2020. The 1st workshop was successfully conducted with a Keynote talk, 4 invited talks and paper presentations with more than 60 participants.
The 2nd Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE2021) was held in virtual mode on July 11, 2021 as part of the Workshops at 32nd IEEE Intelligent Vehicle Symposium (IV), 2021. The 2nd workshop was successfully conducted with 2 invited talks, a panel discussion, paper presentations and spot-light presentation and had more than 65 attendees.
The 3rd Workshop on Intelligent Transportation Systems, Intelligent Vehicles and Advanced Driver Assistant Systems for Unstructured Environments (ITSIVUE2022) was held in virtual mode on June 2, 2022 as part of the Workshops at 33rd IEEE Intelligent Vehicle Symposium (IV), 2022. The 3rd workshop was successfully conducted with 2 invited talks, a panel discussion, an Industry R&D session and spot-light presentation and had a large participation.
Scope of the Workshop
Scope of the Workshop
There is a growing demand for Intelligent Transportation Systems (ITS), Intelligent Vehicles (IV), Advanced Driver Assistant Systems (ADAS) and Assistive Mobility (AM) in unstructured environments. Current solutions deployed by vehicle manufacturers in the ITS, IV and ADAS space are based on the assumptions that the environment is well-structured with well-defined lanes, road surface markings, traffic signs and lights and stringent and well-defined traffic rules are followed.
These assumptions may not hold in unstructured environments where there may be a need to identify the drivable area that is free of all dynamic and static obstacles as well as road anomalies. Detection of static obstacles such as vehicles parked on the side of the road, presence of vendor carts and people around it, various barriers, trees, poles, sinages as well as dynamic obstacles such as animals, pedestrians, cyclists, and other standard and non-standard vehicles, are important for safe driving. Presence of a large number of two-wheeler traffic also pose challenges, both for the riders as well as the drivers of other vehicles. Lack of proper lane markings, traffic signals and traffic lights along with presence of road anomalies such as pot-holes, water puddles, cracks, etc. add to the complexities of driving in such environments. Therefore, the ITS, IV and ADAS solutions developed and deployed in well-structured environments are difficult to seamlessly adapt to unstructured environments. These challenges offer new research opportunities for developing more robust and all-encompassing ITS, IV and ADAS solutions. These novel solutions will also help advance the areas of assistive mobility and transportation. Driver behaviour is highly affected by these driving conditions, and therefore, these conditions also pose novel problems in the area of driver monitoring.
Intelligent traffic management in such a scenario also poses novel challenges, not present in the well-structured environments. Optimal routing, scheduling and management of various modes of transportation such as Road, Railways, Air and Sea also form a part of intelligent transportation. These complex transportation networks require highly complex real-time computational algorithms to ensure time bound and accurate performance. Communication among vehicles, use of wireless networks and smarphone apps for V2X and V2V communication in such scenarios also bring in a large number of novel research challenges including security of the communication channels and equipments present in the vehicles.
Assistive mobility gives dignity of life to the less abled, giving them the freedom to lead a normal life. Unstructured environments currently pose many challenges for assistive mobility solutions to be deployed easily. Therefore, not only is it important to address the challenges of complex unstructured environments for bringing safety and autonomy in vehicles, transport and traffic infrastructure, it is also necessary to adapt or find novel solutions in the areas of assistive mobility in unstructured environments.
The aim of the workshop is to engage with the the vast and diverse research community to explore and find novel solutions or adapt existing solutions to the problems in the areas of Intelligent Transportation systems, Intelligent vehicles and Advanced Driver Assistance Systems in chaotic and unstructured environments. The workshop will also be a platform to share with the research community the ongoing research efforts in these areas. It will also be a good platform to discuss approaches to gather and share large amounts of real, high quality data of the varied unstructured environments.
Topics of Interest
Topics of interest include all aspects of ITS, IV, ADAS and Assistive Mobility including but not limited to:
Intelligent Vehicles for unstructured environments
Road scene understanding in unstructured environments
Semantic labelling, object detection and recognition in complex road scenes
Operational Design Domain
Two-wheeler mobility in complex environments
Advanced Rider Assistance Systems for Intelligent two-wheelers
Driver Activity Monitoring Systems for drivers in chaotic environments
Intent recognition and behaviour prediction of vehicles and VRUs.
Design and development of robust and real-time systems for IV and ITS in unstructured driving conditions
Use of emerging sensors (e.g., multispectral, RGB-D, LIDAR and RADAR) and sensor fusion for IV and ITS in unstructured environments
Safety applications for vulnerable road users in complex and unstructured driving environments
Datasets and Evaluation Procedures for complex and unstructured driving environments
Real-world driving datasets for unstructured environments
Advanced Driver Assistance Systems in Unstructured Environment with presence of:
novel vehicle classes
unmarked, or incomplete or disoriented road signs
high density traffic
harsh environmental conditions
unpredictable behaviour of traffic agents (pedestrians, cyclists, vehicles, etc.)
presence of various types of animals on the road
large intra-class variations in appearance of vehicles
Autonomous driving
Intelligent Transportation Systems
Intelligent Traffic management
Railways, Air transportation and Sea transportation with highly complex traffic scheduling
Real-time decision making
Assistive mobility in Unstructured Environments
Applications for the Visually Impaired
Applications for the Ageing Society
Applications for hearing impaired
Workshop Organizers
Dr. Ayesha Choudhary
Jawaharlal Nehru University,
India
Prof. S. Indu
Prof. S. Indu
Delhi Technological University,
India
Our Sponsor
Our Sponsor
Contact
Contact
In case of any queries, please write to the workshop organizers at: itsivue2024@gmail.com
Page updated
Google Sites
Report abuse