Titlebook: Intelligent Autonomous Systems 16; Proceedings of the 1 Marcelo H. Ang Jr,Hajime Asama,Shaohui Foong Conference proceedings 2022 The Editor

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Learning to Drive Fast on a DuckieTown Highway so the system should not be trained on lane markings alone but on the complete view of the front camera. To make this possible, the system is trained in simulation using a recent reinforcement learning approach in an end-to-end fashion. This driving experience is then transferred to the circumstanc

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End-to-End Learning of Autonomous Vehicle Lateral Control via MPC Training utilizing vision data, processed using convolutional neural networks or classical computer vision algorithms to extract a road mask. A software pipeline then analyzes this mask to retrieve the vehicle’s relative state. This process is composed of many components that need to be tuned to achieve goo

Defense

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2367-3370 l production.Offers a rich source of ideas for new research .This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-16 conference, conducted virtually in Singapore, from 22 to 25 June 2021. IAS is a common pla

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