First Workshop on Intelligent Mobility in Unstructured Environments

in conjunction with the International Conference on Pattern Recognition (ICPR) 2024, Dec 01-05, 2024

December 1, 2024 ⚪ ICPR2024 ⚪ Kolkata, India

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About the Workshop

Mobility in unstructured environments is fraught with challenges that are varied, unpredictable and absent in well-structured environments. Data from sensors such as cameras, radars, LiDARS are being used for recognising patterns of traffic and mobility behaviour. However, most of the research that has been carried out in the areas of intelligent mobility such as Advanced Driver Assistance Systems (ADAS), Assistive Mobility (AM), Intelligent Vehicles (IV) and Intelligent Transportation Systems (ITS) have assumed the driving environment to be well-structured. However, in many places in the world, this assumption does not hold. This makes development of ADAS and IVs for unstructured environments even more challenging. Hence, the existing solutions for intelligent mobility developed for well-structured environments do not perform well in unstructured environments. Therefore, there is a need to develop intelligent mobility solutions that can overcome these novel challenges and make roads safe.

The aim of this workshop is to bring together researchers from academia and industry to discuss, share and explore and find novel solutions to overcome the challenges of intelligent mobility in unstructured environments.

Topics of Interest

Topics of interest include all aspects of mobility including but not limited to:

Intelligent Vehicles for unstructured environments
Intelligent transportation systems for unstructured environments
Advanced Driver Assistant Systems in Unstructured Environment
Advanced Rider Assistant Systems for Two-Wheelers
Road scene understanding in unstructured environments
Semantic labelling, object detection and recognition in complex road scenes
Driver Behaviour Monitoring Systems for drivers in chaotic environments
Intent recognition and behaviour prediction of vehicles and vulnerable road users.
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
Detection and Recognition of non-standard vehicle
Detection and Recognition of road signs, road surface markings
Traffic simulator design and development for unstructured environments
Two-wheeler mobility issues
Assistive mobility in unstructured environments
Detection and Recognition of various road anomalies
Road type detection and recognition
Drivable area detection and recognition in unstructured environments