Responsible for MPC4 Object detection algo. development, incl. NN network design & tracking fusion

Vehicle Detection and Tracking: Skills in detecting, classifying, and tracking objects in various conditions (e.g., lowlight,
occlusions).
Image Segmentation: Ability to separate dynamic objects (like vehicles, pedestrians) from static background.
Optical Flow and Motion Estimation: Experience in analyzing the movement of objects over time, critical for dynamic
scenes.
Deep Learning Frameworks: Familiarity with TensorFlow, PyTorch, or Keras for training and deploying models.
Object Detection Models: Experience with YOLO, Faster R-CNN, SSD, or specialized models for real-time detection.
Temporal Modeling: Proficiency with models for time-series data like RNNs, LSTMs, or Transformers, especially for
predicting object trajectories.
Data Annotation and Training: Skills in annotating dynamic scenes and training models on diverse datasets to
improve robustness.