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Yes, we GAN: Applying adversarial techniques for autonomous driving.

, , , , , and . Autonomous Vehicles and Machines, page 1-17. Society for Imaging Science and Technology, (2019)

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Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving., , , , , , and . J. Electronic Imaging, (2022)FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving., , , , , , and . CoRR, (2019)Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps., , , , , , , , and . ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 567-582. Springer, (2018)Exploring Deep Spiking Neural Networks for Automated Driving Applications., , , , and . VISIGRAPP (5: VISAPP), page 548-555. SciTePress, (2019)Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks., , , and . IV, page 2278-2283. IEEE, (2019)Challenges in Designing Datasets and Validation for Autonomous Driving., , , and . VISIGRAPP (5: VISAPP), page 653-659. SciTePress, (2019)Design of Real-time Semantic Segmentation Decoder for Automated Driving., , , and . VISIGRAPP (5: VISAPP), page 393-400. SciTePress, (2019)Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving., , , , , , and . CoRR, (2019)A 160-fps Embedded Lane Departure Warning System., and . ICCVE, page 214-215. IEEE Computer Society, (2012)Deep Reinforcement Learning for Autonomous Driving: A Survey., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (6): 4909-4926 (2022)