Computer Vision for Autonomous Vehicles
This work addresses challenges in autonomous vehicle perception for a specific institution, but it appears incremental as it applies existing methods without clear breakthroughs.
The paper tackled the implementation of image processing techniques for autonomous vehicles in both indoor and outdoor environments, noting that deep learning improves precision, and developed base models for problems in building an autonomous car for the Indian Institute of Space Science and Technology.
In this work, we try to implement Image Processing techniques in the area of autonomous vehicles, both indoor and outdoor. The challenges for both are different and the ways to tackle them vary too. We also showed deep learning makes things easier and precise. We also made base models for all the problems we tackle while building an autonomous car for Indian Institute of Space science and Technology.