Titlebook: Artificial Intelligence and Smart Vehicles; First International Mehdi Ghatee,S. Mehdi Hashemi Conference proceedings 2023 The Editor(s) (i

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察覺

拉開這車床

Semantic Segmentation Using Events and Combination of Events and Frames,h images and events. We also introduce a novel training method (blurring module), and results show our training method boosts the performance of the network in recognition of small and far objects, and also the network could work when images suffer from blurring.

CREEK

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Yvonne Thorhauer,Christoph A. Kexelreal-world deployment. Towards boosting the appearance of AVs on the roads, the interaction of AVs with pedestrians including “prediction of the pedestrian crossing intention” deserves extensive research. This is a highly challenging task as involves multiple non-linear parameters. In this direction

拖網(wǎng)

Trypsin

Introducing the Facebook Platform, our fine-tuned VGG-16, VGG-19, ResNet50 and EfficientNetB0 models on the German Traffic Sign Recognition Benchmark (GTSRB) test dataset. Our work makes several contributions, including the utilization of transfer learning with pre-trained CNN models, the integration of augmentation techniques, and

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發(fā)展

Introducing the Facebook Platform,onent of the control system for these devices, as it enables the identification of the current walking stage and facilitates appropriate ankle functionality. Gait phase detection has increasingly favored the use of inertial measurement units, which provide valuable data on angular velocity and accel