How LaneGuard Works
Gaussian Blur
This technique helps to smooth the image, reducing noise and helping to focus on relevant features by minimizing unneccessary details.
Canny Edge Detection
LaneGuard uses Canny edge detection to identify sharp changes in intensity, which are indicative of lane markings on the road. This step is crucial for isolating the lanes from other elements in the visual feed.
Hough Transform
Once the edges are detected, the Hough transform algorithm is applied to detect straight lines representing the lanes. This method ensures that even in challenging lighting conditions, lane markings are accurately identified.
Meet the Founders
Ankit Rao
Hey everyone! My current focus is on advancing machine learning technologies. I’m developing a multimodal mental health detection system, which I’m preparing for publication at NeurIPS. Additionally, I’m working on research papers that delve into optimizing vector databases to enhance data retrieval and processing.
Arjun Bakhale
Hi! I’ve had the opportunity to intern at HHMI, where I worked on developing RAG software. I’m currently the AI team lead for a nonprofit organization called Kashmir World Foundation, specializing in using Siamese Neural Networks. I'm currently reading the Three-Body Problem series.
