The main objective of this project is to design a system using Open CV that can detect lane lines and estimate vehicular offset value with the help of lane curvature.
This repository consists KNN code using python,Finding optimal K using 10-fold cross validation, Sliding Window approach to increase accuracy.
Python sliding window counter API rate limiter using Redis.
Devised an algorithm written to detect lane and estimate road curvature from live footage of an Autonomous Vehicle with added intelligent lane prediction in case lane is not detected <Completed>#
Collection of my Leetcode solutions
用于 IoT 平台数据完整性校验的轻量级中间件。支持高并发 RESTful 数据抓取、自动化时序对齐及 Excel 批处理。旨在降低集成门槛，显著缩短数据交付验证周期，通过技术手段提升产品交付效率。
redis rate limiting algos ( fixed window, sliding window )
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