Friday, January 23, 2026
10:20 – 11:10 a.m. in ETB 1020
Dr. Pablo Rangel
Assistant Professor
Electrical Engineering
Texas A&M University–Corpus Christi
Title: “Exploration of Event-Based Vision Sensors for Autonomous Systems Applications”
Abstract:
At the Collaborative Robots and Agents Lab (CORAL) at TAMUC-CC we are currently exploring multiple applications of event-based camera sensors. We started by exploring the integration of dynamic vision sensors (DVS), and Real-Time Object Detection (RTOD) algorithms. DVS or neuromorphic cameras provide a solution by capturing motion as discrete “events” rather than full-frame images, offering high temporal resolution, low latency, and reduced data bandwidth. Produces visualization data with minimized complexity and throughput. Then, RTOD can be achieved with optimal resource usage accurately and at high speeds. An architecture or sensor fusion framework has been in development to integrate and make the most optimal use of combining diverse vision-based technologies. The framework was preliminary studied for the capabilities of event-based imagers combined with YOLO. Initial experimental work and observations were documented in the utilization of the V2E toolbox that generates realistic synthetic DVS events from intensity frames. The YOLOv12 algorithm is implemented in both the frame and its following raw synthetic DVS event images. At CORAL we currently obtained Prophesee PSK320MPCM2RPI5 GENX320MP-CM2 event-camera module with fixed M6 mount lens (FOV 104°) and GENX320MP-CCAM5 chip on board with interchangeable M12 mount lens (FOV 76°) for hands-on experiments to validate and further expand on experiments done with synthetic data. By observing these technologies, confounders and limitations is possible to plan into developing filtering and other documented solutions to fusion these computer vision tools. This research effort aims to develop advanced methods for real-time monitoring in fast changing environments such as autonomous systems-based reconnaissance, structural integrity inspections, law enforcement monitoring, collision avoidance, autonomy T&E and overall tracking, detection, and characterization of objects of interest.
Biography:
Pablo Rangel, Ph.D., is an Assistant Professor of Electrical Engineering at Texas A&M University–Corpus Christi, where he leads the Collaborative Robotic Agents Laboratory (CORAL). He earned his Ph.D. in Electrical and Computer Engineering from The University of Texas at El Paso in May 2017. Dr. Rangel’s teaching portfolio spans undergraduate and graduate courses in electrical and computer engineering, including Circuit Analysis, Electronic Systems Design, Communication Theory and Systems, Microprocessors and Microcontrollers, Electromagnetic Theory, and Dynamics and Control Systems. He has also developed and instructed laboratories in microcontroller design and circuit analysis, integrating experiential learning components to enhance student engagement and technical proficiency. His research focuses on test and evaluation of autonomous systems, unmanned aircraft systems, multi-agent robotics, sensor fusion, Internet of Things (IoT), artificial intelligence, and cyber-physical systems. His applied research extends to mechatronics, biomedical instrumentation, wireless communications, systems engineering, and cybersecurity. Dr. Rangel has collaborated on research sponsored by the U.S. Department of Defense and the National Science Foundation, serving as Co-Principal Investigator for NSF Award #2131263 and DoD Grant #W911NF-23-1-0186. He has also contributed to projects addressing spectrum management and radio telemetry analysis for the U.S. Army.
Homepage: https://www.tamucc.edu/files/php/views/faculty-details.php?profile=Pablo_Rangel