G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System (2210.09846v3)
Abstract: Navigating dynamic physical environments without obstructing or damaging human assets is of quintessential importance for social robots. In this work, we solve autonomous drone navigation's sub-problem of predicting out-of-domain human and agent trajectories using a deep generative model. Our method: General-PECNet or G-PECNet observes an improvement of 9.5\% on the Final Displacement Error (FDE) on 2020's benchmark: PECNet through a combination of architectural improvements inspired by periodic activation functions and synthetic trajectory (data) augmentations using Hidden Markov Models (HMMs) and Reinforcement Learning (RL). Additionally, we propose a simple geometry-inspired metric for trajectory non-linearity and outlier detection, helpful for the task. Code available at https://github.com/Aryan-Garg/PECNet-Pedestrian-Trajectory-Prediction.git
- Abien Fred Agarap. Deep learning using rectified linear units (relu), 2018. URL https://arxiv.org/abs/1803.08375.
- Social lstm: Human trajectory prediction in crowded spaces. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2016.
- Learning motion patterns of persons for mobile service robots. In In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA, pp. 3601–3606, 2002.
- Conditional flow variational autoencoders for structured sequence prediction, 2020.
- Coupled hidden markov models for complex action recognition. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 994–999, 1997. doi: 10.1109/CVPR.1997.609450.
- Trajectory forecasts in unknown environments conditioned on grid-based plans, 2021.
- Social gan: Socially acceptable trajectories with generative adversarial networks, 2018.
- Nikolaus Hansen. The cma evolution strategy: A tutorial, 2016.
- Denoising diffusion probabilistic models, 2020.
- Adam: A method for stochastic optimization, 2017.
- Auto-encoding variational bayes, 2013. URL https://arxiv.org/abs/1312.6114.
- Desire: Distant future prediction in dynamic scenes with interacting agents, 2017.
- Crowds by example. Computer Graphics Forum, 26, 2007.
- Conditional generative neural system for probabilistic trajectory prediction, 2019.
- From goals, waypoints and paths to long term human trajectory forecasting, 2020a.
- It is not the journey but the destination: Endpoint conditioned trajectory prediction. CoRR, abs/2004.02025, 2020b. URL https://arxiv.org/abs/2004.02025.
- You’ll never walk alone: Modeling social behavior for multi-target tracking. In 2009 IEEE 12th International Conference on Computer Vision, pp. 261–268, 2009. doi: 10.1109/ICCV.2009.5459260.
- Learning social etiquette: Human trajectory prediction in crowded scenes. 2016. URL http://cvgl.stanford.edu/projects/uav_data/.
- Sophie: An attentive gan for predicting paths compliant to social and physical constraints, 2018.
- Implicit neural representations with periodic activation functions, 2020. URL https://arxiv.org/abs/2006.09661.
- View vertically: A hierarchical network for trajectory prediction via fourier spectrums, 2022.
- Human trajectory prediction via neural social physics, 2023.
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