Real-time object detection and optimal path finding for large scale un-manned Vehicle in automated warehouses

Project Member(s): Lu, H.

Funding or Partner Organisation: Southern University of Science and Technology
Southern University of Science and Technology
Southern University of Science and Technology
Southern University of Science and Technology

Start year: 2019

FOR Codes: Pattern Recognition and Data Mining, Productivity (excl. Public Sector), Pattern recognition

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.