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Found 7 papers, 0 papers with code
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE Vehicle
Two state-of-the-art algorithms not previously tested in this context: soft actor critic (SAC) and adversarial inverse reinforcement learning (AIRL), are used to train models in a representative simulation.
Racing Towards Reinforcement Learning based control of an Autonomous Formula SAE Car
With the rising popularity of autonomous navigation research, Formula Student (FS) events are introducing a Driverless Vehicle (DV) category to their event list.
Visual based Tomato Size Measurement System for an Indoor Farming Environment
As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry.
Look how they have grown: Non-destructive Leaf Detection and Size Estimation of Tomato Plants for 3D Growth Monitoring
The overall measurement system (leaf detection and size estimation algorithms combine) delivers an RMSE value of 8. 13mm and an R^2 value of 0. 899.
Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning
Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards.
Kiwifruit detection in challenging conditions
Alone the semantic segmentation approach achieves an F1_score of 0. 82 on the typical lighting image set, but struggles with harsh lighting with an F1_score of 0. 13.
Deep Neural Network Based Real-time Kiwi Fruit Flower Detection in an Orchard Environment
In this paper, we present a novel approach to kiwi fruit flower detection using Deep Neural Networks (DNNs) to build an accurate, fast, and robust autonomous pollination robot system.
