… inherently requires deeper analysis into the overall structure of that trajectory, which is …
process on long-term future trajectories. We design Goal-driven Trajectory Prediction model - a …

… Various intention horizons can be explored; we use 0.8s, as we explore how short-term
intent can help guide trajectory prediction. Environmental labels The environment of driving …

… to develop a framework for trajectory prediction of based on … there is no published trajectory
prediction technique that uses … between the proposed models in term of processing time. The …

… Qualitative Results: We show some qualitative results for long term trajectory prediction (tf
= 30) on SDD in Figure 3 and through a GIF temporally in Figure 7. We observe that Y-net …

… a novel 3DOF pedestrian trajectory prediction approach for … finder sensors to learn and predict
3DOF pose trajectories (ie 2D … -Pose Long-Short-Term Memory), is trained using long-term …

… limited scalability for long sequences. For … long-term temporal dynamics, we propose
Long-Short Term Spatio-Temporal Aggregation (LSSTA) network for human trajectory prediction. …

… Unlike the LG-CVAE, this stage outputs the deterministic prediction based on the predicted
long-term goal since we deal with the uncertainty of the fine trajectories other than long-term …

… For the long-term trajectory prediction module, we build the TPM based on the GP according
to the inference results of the DIM. Afterward, the model parameters are acquired using a …

… In this study, a novel long-term trajectory prediction method using a generative
adversarial network (GAN) is proposed. The whole 4D trajectory is predicted directly, and the …

… Abstract—We propose a Bayesian trajectory prediction and … -based, long-term trajectory
predictions, which themselves … Taking all uncertain predictions of all maneuvers of every …