Isuzu is an innovator in the automotive industry and is currently developing an autonomous truck. Students on this team will support this work by solving autonomous driving problems in different levels including, data preprocessing, algorithm development and algorithm optimization.
Abstract:
Isuzu is an innovator in the automotive industry and is currently developing an autonomous truck. Students on this team will support the development of Isuzu’s self-driving truck by solving autonomous driving problems in different levels including, data preprocessing, algorithm development and algorithm optimization. The improved algorithms will be validated, both in the virtual testing environment, and in the physical testing (robot car). Ultimately, the algorithm will be tested with Isuzu’s autonomous truck on the Isuzu Technical Center of America (ITCA) proving ground as well as the M-City autonomous test site at the University of Michigan.
The development environment will be directly provided by Isuzu: (1) a self-driving robot car with sensors (32-beam lidar, camera) and algorithms (path planning, 3D-SLAM). (2) IPG virtual simulator with our truck model and real world maps (Ann Arbor, Plymouth). (3) Data collected by Isuzu Truck (Images, 3D point cloud).
More Information
Perception, Computer Vision (2 – 3 students)
Specific Skills: Understanding of localization based on multiple methods: Camera, Lidar, Radar
Likely Majors: EE, CS, Robotics, Math
Controls (2 students)
Specific Skills: Understanding of path planning and control algorithms. Experience with hardware.
Likely Majors: EE, CE, CS, Robotics, ME
Data Analysis (2 students)
Specific Skills: Data analysis, modeling, data mining and machine learning techniques, data set cleaning and integration. General programming skills and statistics knowledge. Experience on data science projects
Likely Majors: Data Science, CS, Statistics, Math
Sponsor Mentor
Wenbo Yu
Wenbo has been working as an Autonomous and AI engineer at ITCA for one year. He is working on big data and autonomous driving algorithm research and development. Before that, he was a Masters student in Mechanical Engineering at the University of Michigan.
Faculty Mentor
Grant Kruger
Dr. Kruger is an Associate Research Scientist in both Mechanical Engineering and the Department of Anesthesiology at the University of Michigan. He is passionate about finding novel engineering solutions to problems faced by care providers and believes in translating these solutions into broader practice. He has a diverse research background with publications covering areas from Intelligent Manufacturing Systems to Biomedical Engineering. Dr. Kruger’s current research focuses on Biomedical Informatics approaches (robotics, ultrasound, physiologic monitoring, software and firmware development, hardware design, algorithms, signal, image and video processing and novel prototype manufacturing) based on Computational Intelligence technologies.
Course Substitutions: Honors, ChE Elective, CS MDE/Capstone, CE MDE, Data Science Capstone, EE MDE, IOE Senior Design, ISD AUTO 503, MECHENG 590, ROB 590
Internship/Summer Opportunity: Students will be guaranteed an interview for 2021 internships. The interviews will take place in March 2021.
Citizenship Requirements: This project is open to all students.
IP/NDA: Students will sign standard University of Michigan IP/NDA documents.