113-2 專題演講-114/04/11 國立中央大學資訊工程學系 孫敏德教授

主講人:國立中央大學資訊工程學系 孫敏德教授
演講主題:PedCross: Pedestrian Crossing Prediction for Auto-Driving Bus

演講摘要:

Pedestrian movements are more challenging to predict because humans can quickly change their direction and status (e.g., walking or stopping). In this research, we build a system called PedCross, which uses human image semantic information to predict the behavior of pedestrians (i.e., crossing or not crossing). In PedCross, images of pedestrians are first used to detect skeletons. The features in the detected skeletons are then extracted for model training. Two types of models, Random Forest and LSTM, are considered for pedestrian crossing prediction. To further improve the efficiency and accuracy of PedCross, Skip Frame, Head Orientation, and Warning/Dangerous Zones are integrated. PedCross is tested with the collected ITRI dataset and deployed on the auto-driving bus for a road test. The road test indicates that PedCross achieves all the requirements set forth by ITRI and outperforms Free Space, a baseline system developed by ITRI.

日期:114年04月11日(五)
時間:1410~1600

註:
1.本演講採實體演講方式進行,採中文演講。
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