muhammad-nassef Goto Github PK
Name: Muhammad Nassef
Type: User
Company: Bosch
Bio: Software Engineer works on sensor fusion and dynamic objects tracking algorithms.
Location: Germany
Name: Muhammad Nassef
Type: User
Company: Bosch
Bio: Software Engineer works on sensor fusion and dynamic objects tracking algorithms.
Location: Germany
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
Implementation of Extended Kalman Filter algorithm in C++ capable of performing the fusion of Lidar and Radar sensors data for tracking a pedestrian's motion in two dimensions.
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
Vehicle control using model predictive control (MPC)
Implemention of a 2D Particle Filter vehicle localizer.
Implemented a PID controller in C++ to maneuver a vehicle around a track.
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
Implementation an Unscented Kalman Filter algorithm in C++ capable of accurately performing the fusion of Lidar and Radar sensors data for tracking a turning object using Constant Speed Constant Turn Rate (CTRV) Motion model.
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
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