Summary of Idd-x: a Multi-view Dataset For Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic, by Chirag Parikh et al.
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
by Chirag Parikh, Rohit Saluja, C.V. Jawahar, Ravi Kiran Sarvadevabhatla
First submitted to arxiv on: 12 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel large-scale dual-view driving video dataset, IDD-X, is introduced to address the gap in existing datasets that focus on structured and sparse traffic scenarios. This comprehensive dataset features 697K bounding boxes, 9K object tracks, and annotations for 10 categories of road objects and 19 explanation label categories. The dataset also incorporates rearview information to provide a more complete representation of the driving environment. To leverage this dataset, custom-designed deep networks are introduced for multiple important object localization and per-object explanation prediction. This effort is crucial for understanding how road conditions and surrounding entities affect driving behavior in complex traffic situations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a world where cars can navigate safely and efficiently through busy streets in developing countries. To make that happen, researchers created a huge dataset of videos showing real-life driving scenarios. The dataset, called IDD-X, has lots of information about the road, objects around the car, and even what’s behind you. This will help machines learn to drive better in tricky situations. The team also designed special computer models to work with this data, which can help us understand how different factors affect a car’s behavior. |
