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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.
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). Students on this team will use an existing robot car and build on the foundation of work completed by a 2020 MDP team to improve autonomous driving algorithms.
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