Continual learning-based trajectory prediction with memory augmented networks

• Main Authors: Yang, Biao, Fan, Fucheng, Ni, Rongrong, Li, Jie, Loo, Chu Kiong, Liu, Xiaofeng
• Format: Article
• Published: Elsevier 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/40721/
• Institution: Universiti Malaya

Forecasting pedestrian trajectories is widely used in mobile agents such as self-driving vehicles and social robots. Deep neural network-based trajectory prediction models precisely predict pedestrian trajectories after training. However, the prediction models fail to avoid catastrophic forgetting w...