SKGACN: social knowledge-guided graph attention convolutional network for human trajectory prediction
K Lv, L Yuan - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
Pedestrian trajectory prediction is crucial in driverless applications. To accurately predict the
high-quality trajectory of pedestrians, it is necessary to consider the reasonable social …
high-quality trajectory of pedestrians, it is necessary to consider the reasonable social …
Summary and Reflections on Pedestrian Trajectory Prediction in the Field of Autonomous Driving
Pedestrian trajectory prediction is a classic and challenging scientific task that involves
complex engineering science and human factors. These challenges have spurred a …
complex engineering science and human factors. These challenges have spurred a …
Learning autoencoder diffusion models of pedestrian group relationships for multimodal trajectory prediction
K Lv, L Yuan, X Ni - IEEE Transactions on Instrumentation and …, 2024 - ieeexplore.ieee.org
Pedestrian trajectory prediction is crucial for enabling dynamic obstacle avoidance in social
robots. Variational autoencoders (VAEs) have shown potential in predicting multimodal …
robots. Variational autoencoders (VAEs) have shown potential in predicting multimodal …
D2-TPred: Discontinuous dependency for trajectory prediction under traffic lights
A profound understanding of inter-agent relationships and motion behaviors is important to
achieve high-quality planning when navigating in complex scenarios, especially at urban …
achieve high-quality planning when navigating in complex scenarios, especially at urban …
Stirnet: A spatial-temporal interaction-aware recursive network for human trajectory prediction
Pedestrian trajectory prediction is one of the important research topics in the field of
computer vision and a key technology of autonomous driving system. However, it's full of …
computer vision and a key technology of autonomous driving system. However, it's full of …
BIP-Tree: Tree Variant With Behavioral Intention Perception for Heterogeneous Trajectory Prediction
Y Zhang, W Guo, J Su, P Lv… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
An insightful understanding and relational reasoning of motion behavior are typical
components for trajectory prediction to achieve safe planning when navigating in complex …
components for trajectory prediction to achieve safe planning when navigating in complex …
[HTML][HTML] Enhancing indoor building occupant safety in the built environment: Assessing the validity of social force modeling for simulating physical distancing …
Facility managers play a key role in ensuring the safety of occupants in indoor environments,
particularly in the event of a disaster. Pedestrian Simulation Models, such as the Social …
particularly in the event of a disaster. Pedestrian Simulation Models, such as the Social …
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
In the dynamic and rapid tactic involvements of turn-based sports, badminton stands out as
an intrinsic paradigm that requires alter-dependent decision-making of players. While the …
an intrinsic paradigm that requires alter-dependent decision-making of players. While the …
Pedestrian Group Re-Identification and Trajectory Prediction through Zone-based Clustering
Pedestrian trajectory prediction is a critical aspect of computer vision, aimed at predicting a
pedestrian's future locations by analyzing their past movements. Traditional trajectory …
pedestrian's future locations by analyzing their past movements. Traditional trajectory …
基于图神经网络的行人轨迹预测研究综述.
曹健， 陈怡梅， 李海生， 蔡强 - Computer Engineering & …, 2023 - search.ebscohost.com
随着计算机视觉和自动驾驶技术的快速发展, 自动感知, 理解和预测人类行为的能力变得越来越
重要. 各类传感器的普及使得社会中产生了大量运动物体的位置数据. 基于这些数据预测行人的 …
重要. 各类传感器的普及使得社会中产生了大量运动物体的位置数据. 基于这些数据预测行人的 …