G Elghazaly, R Frank, S Harvey… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In cooperative, connected, and automated mobility (CCAM), the more automated vehicles can perceive, model, and analyze the surrounding environment, the more they become …
Z Zhou, J Wang, YH Li… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Predicting the future trajectories of surrounding agents is essential for autonomous vehicles to operate safely. This paper presents QCNet, a modeling framework toward pushing the …
Predicting multimodal future behavior of traffic participants is essential for robotic vehicles to make safe decisions. Existing works explore to directly predict future trajectories based on …
Z Zhou, L Ye, J Wang, K Wu… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Accurately predicting the future motions of surrounding traffic agents is critical for the safety of autonomous vehicles. Recently, vectorized approaches have dominated the motion …
W Mao, C Xu, Q Zhu, S Chen… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
To model the indeterminacy of human behaviors, stochastic trajectory prediction requires a sophisticated multi-modal distribution of future trajectories. Emerging diffusion models have …
B Varadarajan, A Hefny, A Srivastava… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this problem requires fusing …
We present MotionDiffuser, a diffusion based representation for the joint distribution of future trajectories over multiple agents. Such representation has several key advantages: first, our …
Motion prediction is crucial for autonomous driving systems to understand complex driving scenarios and make informed decisions. However, this task is challenging due to the diverse …
Perception and prediction are two separate modules in the existing autonomous driving systems. They interact with each other via hand-picked features such as agent bounding …