A Novel Approach to Lane-Line and Object Detection in Advanced Driver Assistance Systems
This high-tech DAS recognizes objects and lane lines using OpenCV, PyTorch, and PyCUDA. Image processing helps the lane-line detecting system track accurately. The object detection module uses a refined deep-learning model to identify objects. New drivers are safer and more successful when these pieces work together to study the vehicle's surroundings in real time. Extensive testing shows the paper's efficacy and potential to revolutionize intelligent driving assistance.
Authors
- Hanumat Sastry G (ORCID: https://orcid.org/0000-0002-8175-7675)
- Polumuri Spandana Valli
- Shobha Aswal
- Bharathi Paleti
- K.Rachita Sony
Institutions
- Naval Science & Technological Laboratory (IN)
- University of Petroleum and Energy Studies (IN)
- Dehradun Institute of Technology University (IN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/cisct62494.2024.11134218
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00