most citedPallet Detection from Synthetic Data Using Game Engines

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2023

Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car

Aakaash Salvaji, Harry Taylor, David Valencia +2

With the rising popularity of autonomous navigation research, Formula Student (FS) events are introducing a Driverless Vehicle (DV) category to their event list. This paper present…

cs.RO2023

Seeing the Fruit for the Leaves: Robotically Mapping Apple Fruitlets in a Commercial Orchard

Ans Qureshi, David Smith, Trevor Gee +12

Aotearoa New Zealand has a strong and growing apple industry but struggles to access workers to complete skilled, seasonal tasks such as thinning. To ensure effective thinning and…

cs.CV2023

Visual based Tomato Size Measurement System for an Indoor Farming Environment

Andy Kweon, Vishnu Hu, Jong Yoon Lim +7

As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry. Current existing vision systems for yield estimation face…

cs.CV2023★ 2 cited

Pallet Detection from Synthetic Data Using Game Engines

Jouveer Naidoo, Nicholas Bates, Trevor Gee +1

This research sets out to assess the viability of using game engines to generate synthetic training data for machine learning in the context of pallet segmentation. Using synthetic…

cs.RO2023★ 1 cited

Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning

Ans Qureshi, Neville Loh, Young Min Kwon +10

Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards. One of the primary challenges is…