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Years Active: 2025
Title: Mahdi Bandegi: Innovator in Pedestrian Tracking Systems
Introduction
Mahdi Bandegi is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of pedestrian tracking systems, particularly through his innovative patent that focuses on collision avoidance.
Latest Patents
Mahdi Bandegi holds a patent titled "Sequential pedestrian trajectory prediction using step attention for collision avoidance." This patent describes a pedestrian tracking system that includes a buffer or memory to store a trajectory sequence of a pedestrian. The system features a step attention module and a control module. The step attention module iteratively performs a step attention process to predict the states of the pedestrian. Each iteration involves learning the stored trajectory sequence to provide time-dependent hidden states, reshaping these states into two-dimensional tensors, and condensing them via convolutional networks to produce convolutional sequences. The system captures global information from these sequences to output a set of trajectory patterns represented by a new sequence of tensors. It also learns time-related patterns in the new sequence and decodes it to provide one or more states of the pedestrian, modifying the stored trajectory sequence to include these predictions.
Career Highlights
Throughout his career, Mahdi Bandegi has worked with notable organizations, including Denso International America, Inc. and the University of Michigan. His experience in these institutions has allowed him to develop and refine his expertise in pedestrian tracking technologies.
Collaborations
Mahdi has collaborated with talented individuals such as Neda Masoud and Joseph Lull, contributing to advancements in his field.
Conclusion
Mahdi Bandegi's work in pedestrian tracking systems exemplifies innovation and dedication to enhancing safety through technology. His patent and career achievements reflect his commitment to improving collision avoidance systems for pedestrians.