Obstacle Avoidance

Research2020-2021RIIMA Research Group, USTHB
Obstacle Avoidance
  • Led the system design and computer vision development as part of an interdisciplinary project during my PhD.
  • Collaborated with the Electronics Faculty, who engineered the hardware output interface to bring the system into real-world use.
  • Designed and implemented an image-based obstacle avoidance and classification system to identify obstacles in real time.
  • Detected and classified scene elements from RGB images and mapped them to assist navigation.
    • Tech Stack

    Python,OpenCV,Scikit-learn,TensorFlow,Keras,Pytorch.

    Methods

    Semantic Labeling,Scene Synthesis,Deep Learning,Assistive Systems,Obstacle Avoidance,Image Classification.

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