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cs.CV2023
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution
Hyeonjae Jeon, Junghyun Seo, Taesoo Kim +4
Autonomous driving technology nowadays targets to level 4 or beyond, but the researchers are faced with some limitations for developing reliable driving algorithms in diverse chall…
cs.CV2023
Challenges of YOLO Series for Object Detection in Extremely Heavy Rain: CALRA Simulator based Synthetic Evaluation Dataset
T. Kim, H. Jeon, Y. Lim
Recently, as many studies of autonomous vehicles have been achieved for levels 4 and 5, there has been also increasing interest in the advancement of perception, decision, and cont…
cs.CV2023
A Study on Quantifying Sim2Real Image Gap in Autonomous Driving Simulations Using Lane Segmentation Attention Map Similarity
Seongjeong Park, Jinu Pahk, Lennart Lorenz Freimuth Jahn +3
Autonomous driving simulations require highly realistic images. Our preliminary study found that when the CARLA Simulator image was made more like reality by using DCLGAN, the perf…