Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model
Xingchen Song,Miao Kang,Sanping Zhou,Jianji Wang,Yishu Mao,Nanning Zheng,Xingchen Song,Miao Kang,Sanping Zhou,Jianji Wang,Yishu Mao,Nanning Zheng
Anticipating the future behavior of pedestrians is a crucial part of deploying Automated Driving Systems (ADS) in urban traffic scenarios. Most recent works utilize a convolutional neural network (CNN) to extract visual information, which is then input to a recurrent neural network (RNN) along with pedestrian-specific features like location and speed to obtain temporal features. However, the major...
