Pedestrian trajectory prediction in pedestrian-vehicle mixed environments: A systematic review
M Golchoubian, M Ghafurian… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
Motiondiffuser: Controllable multi-agent motion prediction using diffusion
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 …
trajectories over multiple agents. Such representation has several key advantages: first, our …
Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
Demystifying the interactions among multiple agents from their past trajectories is
fundamental to precise and interpretable trajectory prediction. However, previous works only …
fundamental to precise and interpretable trajectory prediction. However, previous works only …
Remember intentions: Retrospective-memory-based trajectory prediction
To realize trajectory prediction, most previous methods adopt the parameter-based
approach, which encodes all the seen past-future instance pairs into model parameters …
approach, which encodes all the seen past-future instance pairs into model parameters …
Loki: Long term and key intentions for trajectory prediction
Recent advances in trajectory prediction have shown that explicit reasoning about agents'
intent is important to accurately forecast their motion. However, the current research …
intent is important to accurately forecast their motion. However, the current research …
Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning
E Sachdeva, N Agarwal, S Chundi… - Proceedings of the …, 2024 - openaccess.thecvf.com
The widespread adoption of commercial autonomous vehicles (AVs) and advanced driver
assistance systems (ADAS) may largely depend on their acceptance by society, for which …
assistance systems (ADAS) may largely depend on their acceptance by society, for which …
Jfp: Joint future prediction with interactive multi-agent modeling for autonomous driving
Abstract We propose\textit {JFP}, a Joint Future Prediction model that can learn to generate
accurate and consistent multi-agent future trajectories. For this task, many different methods …
accurate and consistent multi-agent future trajectories. For this task, many different methods …
Multi-person extreme motion prediction
Human motion prediction aims to forecast future poses given a sequence of past 3D
skeletons. While this problem has recently received increasing attention, it has mostly been …
skeletons. While this problem has recently received increasing attention, it has mostly been …
Multi-objective diverse human motion prediction with knowledge distillation
H Ma, J Li, R Hosseini… - Proceedings of the …, 2022 - openaccess.thecvf.com
Obtaining accurate and diverse human motion prediction is essential to many industrial
applications, especially robotics and autonomous driving. Recent research has explored …
applications, especially robotics and autonomous driving. Recent research has explored …
Fjmp: Factorized joint multi-agent motion prediction over learned directed acyclic interaction graphs
Predicting the future motion of road agents is a critical task in an autonomous driving
pipeline. In this work, we address the problem of generating a set of scene-level, or joint …
pipeline. In this work, we address the problem of generating a set of scene-level, or joint …