Virtual Scenario Simulation and Modeling Framework in Autonomous Driving Simulators by Mingyun Wen, Jisun Park, Yunsick Sung, Yong Woon Park, Kyungeun Cho

Subjects: “…autonomous driving simulator…”
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Perspective Transformer and MobileNets-Based 3D Lane Detection from Single 2D Image by Mengyu Li, Phuong Minh Chu, Kyungeun Cho

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Reflective Noise Filtering of Large-Scale Point Cloud Using Transformer by Rui Gao, Mengyu Li, Seung-Jun Yang, Kyungeun Cho

“…Point clouds acquired with LiDAR are widely adopted in various fields, such as three-dimensional (3D) reconstruction, autonomous driving, and robotics. However, the high-density point cloud of large scenes captured with Lidar usually contains a large number of virtual points generated by the specular reflections of reflective materials, such as glass. …”
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Horizon Targeted Loss-Based Diverse Realistic Marine Image Generation Method Using a Multimodal Style Transfer Network for Training Autonomous Vessels by Jisun Park, Tae Hyeok Choi, Kyungeun Cho

“…Studies on virtual-to-realistic image style transfer have been conducted to minimize the difference between virtual simulators and real-world environments and improve the training of artificial intelligence (AI)-based autonomous driving models using virtual simulators. However, when applying an image style transfer network architecture that achieves good performance using land-based data for autonomous vehicles to marine data for autonomous vessels, structures such as horizon lines and autonomous vessel shapes often lose their structural consistency. …”
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Multiple Event-Based Simulation Scenario Generation Approach for Autonomous Vehicle Smart Sensors and Devices by Jisun Park, Mingyun Wen, Yunsick Sung, Kyungeun Cho

“…The generated scenarios can be used in an autonomous driving simulator to teach multiple events that occur during real-world driving. …”
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Switchable-Encoder-Based Self-Supervised Learning Framework for Monocular Depth and Pose Estimation by Junoh Kim, Rui Gao, Jisun Park, Jinsoo Yoon, Kyungeun Cho

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