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Name: Amit Ramesh Karjol
Type: User
Company: Kettering University
Bio: Graduate Student at Kettering University with 3.10 years of Automotive Experience as Systems Engineer
Location: Michigan, USA
Name: Amit Ramesh Karjol
Type: User
Company: Kettering University
Bio: Graduate Student at Kettering University with 3.10 years of Automotive Experience as Systems Engineer
Location: Michigan, USA
Developed a 2D image feature tracking algorithm that detects the keypoints in preceeding vehicle and matches the same in the successive image frames using different detector-descriptor combinations.
Developed a Collision Avoidance System (CAS) by calculating Time-to-Collision (TTC) using Camera and LiDar data, Keypoints matching techniques and YOLO Object Detection Neural Network.
Developed a matrix class in Python
Developed a route-planning algorithm called as ‘A* (A star) algorithm’ to calculate the shortest path between two points/destinations on a map with minimal cost.
Developed a function that implements correct steps to parallel park a a vehicle
Based on Radar System Requirements, a radar target generation and detection system is developed using FMCW waveform configuration, signal propagation technique, Range/Doppler FFT method and finally 2D CFAR implementation .
Developed & implemented an Unscented Kalman Filter (UKF) with noisy lidar and radar sensor fusion to estimate the states (position and velocity) of different moving objects of interest (cars) on a highway.
Based on Computer Vision techniques for image classification and image filtering, a Traffic light classifier is developed to distinguish between red, yellow and green traffic signals.
Translated a Python code of 2D histogram filter to C++
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