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đź’­
Currently processing LiDAR data for trajectory estimation
đź’­
Currently processing LiDAR data for trajectory estimation
  • UCLA - Cyber Physical Systems Lab
  • Westwood Plaza, Los Angeles, CA 90095
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Pinned

  1. Path-Planning-in-a-Dynamic-Environment Path-Planning-in-a-Dynamic-Environment Public

    A cool project in which we do path planning in an environment with moving obstacles and large scale fixed obstacles. We use two different representations of the world to handle the fixed and moving…

    Python 19 1

  2. Pedestrian-Intention-Prediction Pedestrian-Intention-Prediction Public

    In this project, I use convolutional and LSTM neural networks to predict pedestrian intention (crossing the road or staying still). The dataset used is the JAAD dataset, which provides clips of ped…

    2

  3. Covid-Diagnosis-from-Chest-Xrays Covid-Diagnosis-from-Chest-Xrays Public

    In this project, I implemented a framework to try and infer COVID diagnosis from chest X-rays. I first trained a specific U-net to generate masks to segment specific areas of chest x-rays, and CNNs…

    Jupyter Notebook

  4. Lane-Lines-Detection---Udacity Lane-Lines-Detection---Udacity Public

    In this project, I use classical computer vision techniques to detect lane lines on road recordings. After applying color filters to outline the road markings, I use Gaussian smoothing and Canny Ed…

    Jupyter Notebook

  5. Object-Detection-and-Tracking---Udacity Object-Detection-and-Tracking---Udacity Public

    In this project, I implement a framework to detect and track vehicles across different frames from road recordings.

    Jupyter Notebook

  6. Subspace-Sparse-Clustering---LiDAR-Data Subspace-Sparse-Clustering---LiDAR-Data Public

    In this project, I applied robust spectral clustering techniques to LiDAR scans to outline lines in the environment. After matching the lines across different scans, I can deduce the rotation and t…

    Python