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Andrew Presland apresland

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  1. Create rosbag files from the Kitti benchmark dataset and replay as published ROS messages.

    Python

  2. Stereo Visual Odometry based SLAM demonstrated on the KITTI dataset. Based on OpenCV, Eigen, Sophus, Ceres Solver and ROS.

    C++ 26 6

  3. Machine Vision for NVIDIA Jetson. GPU accelerated video capture and neural networks for real-time object detection.

    C 11 2

  4. Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.

    Jupyter Notebook

  5. Use ROS and Gazebo to demonstrate SLAM and Path Planning in a simulated robotic environment.

    CMake 78 18

  6. Real-time NLP analysis using dockerised Scala microservices implemented with Spark, Mesos, Akka, Cassandra and Kafka.

    Scala 1 1