Meta-IRLSOT++: A meta-inverse reinforcement learning method for fast adaptation of trajectory prediction networks

B Yang, Y Lu, R Wan, H Hu, C Yang, R Ni - Expert Systems with …, 2024 - Elsevier
Recent research on pedestrian trajectory prediction based on deep learning has made
significant progress. However, the previous methods do not deeply explore the relationship …

Eigentrajectory: Low-rank descriptors for multi-modal trajectory forecasting

I Bae, J Oh, HG Jeon - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Capturing high-dimensional social interactions and feasible futures is essential for
predicting trajectories. To address this complex nature, several attempts have been devoted …

Multimodal vehicular trajectory prediction with inverse reinforcement learning and risk aversion at urban unsignalized intersections

M Geng, Z Cai, Y Zhu, X Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Understanding human drivers' intentions and predicting their future motions are significant to
connected and autonomous vehicles and traffic safety and surveillance systems. Predicting …

Dynamic-learning spatial-temporal Transformer network for vehicular trajectory prediction at urban intersections

M Geng, Y Chen, Y Xia, XM Chen - Transportation research part C …, 2023 - Elsevier
Forecasting vehicles' future motion is crucial for real-world applications such as the
navigation of autonomous vehicles and feasibility of safety systems based on the Internet of …

5g-enabled cyber-physical systems for smart transportation using blockchain technology

AS Rajawat, SB Goyal, P Bedi, C Verma, EI Ionete… - Mathematics, 2023 - mdpi.com
The physical world can be controlled directly over the Internet once a Cyber-Physical 1
System (CPS) infrastructure is established. The Intelligent Transportation System (ITS) …

[PDF][PDF] 심층강화학습을이용한휠-다리로봇의3 차원장애물극복고속모션계획방법

정순규, 원문철 - 로봇학회논문지, 2023 - jkros.org
In this study, a fast motion planning method for the swing motion of a 6x6 wheel-legged
robot to traverse large obstacles and gaps is proposed. The motion planning method …