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Sensors (Basel, Switzerland)|September 18, 2020
A Deep-Learning Model with Task-Specific Bounding Box Regressors and Conditional Back-Propagation for Moving Object Detection in ADAS ApplicationsGuan-Ting Lin, Vinay Malligere Shivanna, Jiun-In Guo
Sensors (Basel, Switzerland)|January 11, 2024
Object Detection, Recognition, and Tracking Algorithms for ADASs-A Study on Recent TrendsVinay Malligere Shivanna, Jiun-In Guo
Sensors (Basel, Switzerland)|March 11, 2023
Deep Learning Derived Object Detection and Tracking Technology Based on Sensor Fusion of Millimeter-Wave Radar/Video and Its Application on Embedded SystemsJia-Jheng Lin, Jiun-In Guo, Vinay Malligere Shivanna, et al.
Sensors (Basel, Switzerland)|February 27, 2026
Autoregressive and Residual Index Convolution Model for Point Cloud Geometry CompressionGerald Baulig, Jiun-In Guo
IEEE Transactions on Neural Networks and Learning Systems|July 26, 2021
IVS-Caffe-Hardware-Oriented Neural Network Model DevelopmentChia-Chi Tsai, Jiun-In Guo
Optics Express|May 5, 2019
Dark channel prior based video dehazing algorithm with sky preservation and its embedded system realization for ADAS applicationsChia-Chi Tsai, Cheng-Yen Lin, Jiun-In Guo
Sensors (Basel, Switzerland)|July 8, 2023
360° Map Establishment and Real-Time Simultaneous Localization and Mapping Based on Equirectangular Projection for Autonomous Driving VehiclesBo-Hong Lin, Vinay M Shivanna, Jiun-Shiung Chen, et al.
Sensors (Basel, Switzerland)|October 14, 2022
ConcentrateNet: Multi-Scale Object Detection Model for Advanced Driving Assistance System Using Real-Time Distant Region Locating TechniqueBo-Xun Wu, Vinay M Shivanna, Hsiang-Hsuan Hung, et al.
Optics Express|March 17, 2019
Photonic technologies for autonomous cars: feature introductionJin-Wei Shi, Jiun-In Guo, Manabu Kagami, et al.
Sensors (Basel, Switzerland)|September 14, 2024
Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled DataYu-Shu Ni, Wei-Lun Chen, Yi Liu, et al.
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