Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3082904
Abstract: Methods to quantify the complexity of trajectory datasets are still a missing piece in benchmarking human trajectory prediction models. In order to gain a better understanding of the complexity of trajectory prediction tasks and following… read more here.
Keywords: benchmarking datasets; human trajectory; trajectory prediction; trajectory ... See more keywords
Noticing Motion Patterns: A Temporal CNN With a Novel Convolution Operator for Human Trajectory Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3047771
Abstract: As more and more robots are envisioned to cooperate with humans sharing the same space, it is desired for robots to be able to predict others’ trajectories to navigate in a safe and self-explanatory way.… read more here.
Keywords: human trajectory; trajectory prediction; convolution; trajectory ... See more keywords
Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3233906
Abstract: Human trajectory forecasting in crowds presents the challenges of modelling social interactions and outputting collision-free multimodal distribution. Following the success of Social Generative Adversarial Networks (SGAN), recent works propose various GAN-based designs to better model… read more here.
Keywords: adversarial networks; human trajectory; trajectory forecasting; generative adversarial ... See more keywords