Mobility

ICVGIP 2025, held in IIT Mandi, India, brought together a vibrant community of researchers, students, and industry practitioners working at the forefront of computer vision, graphics, and image processing. As a Silver Sponsor of the conference, IHub-Data, IIIT Hyderabad, participated with an exhibition stall that emerged as a focal point for technical discussions, dataset exploration, and talent engagement over the three-day event.

The "Improving Driving Behaviour in India" symposium, held on 22nd February 2025 at IIIT Hyderabad, brought together a diverse group of law enforcement officials, industry experts, researchers, and representatives from NGOs to explore innovative solutions for enhancing road safety across the country. The event underscored the pivotal role of technology and early education in fostering safer driving practices, with a focus on reducing road accidents and improving overall driving behaviour.

The IDD95K dataset is an extensive object detection dataset comprising 95,155 images with corresponding annotations provided in JSON formats. The dataset is specifically designed for training and evaluating object detection models across various Indian driving scenes.

Project Aria, in collaboration with IIIT Hyderabad (IIITH), on an exciting initiative aimed at improving driver-assist technologies. The collaboration focuses on using Aria glasses and sensors to gather real-world data to enhance driver behavior analysis, situational awareness, and safety systems. As part of the project, the Aria team visited IIIT Hyderabad in mid August for a series of meetings, presentations, and practical demonstrations.

In an era where technology is rapidly advancing, road safety remains a critical concern. Enter the development of an energy-efficient mmWave radar system, a groundbreaking project designed to enhance road safety and traffic management, regardless of weather conditions. Here’s a glimpse into how this innovative system is set to transform our roads.

The development of reliable and efficient intelligent vehicle systems is dependent on its capability to understand the influence of road and traffic conditions on its own driving actions. This is particularly challenging in developing countries such as India where traffic situations are often dense and unstructured with heterogeneous road occupants.