… In a spatial-trajectory prediction task, participants were anchored on accurate or inaccurate
information, or not anchored, … Subsequently, they predicted an object’s future location and …

… uncertain and multimodal set of possible outcomes in real-world domains such as autonomous
driving. Beyond single MAP trajectory prediction [… Our trajectory anchors are modes found …

… Table 3 and Table 4 illustrate the performance boost obtained on applying direction
normalization to different trajectory prediction models on both TrajNet++ synthetic and real dataset. …

… uncertainty prediction. A thorough evaluation of the proposed Bi-LSTM-based uncertainty
prediction … The uncertainty error of collected trajectory point provided by the reported GNSS in …

… To address this issue, a trajectory prediction … trajectory prediction process via an implicit
social modeling formula. Inspired by the anchoring effect in decision psychology, the prediction …

… Experienced drivers incorporate the uncertainty tied to potential states of the occluded
environment … to predict by a set of spatial anchors A ∈ RNa×2, where Na is the number of anchors …

… ), a trajectory prediction approach that uses a novel trajectory … space, known here as ET
space, in place of Euclidean space, … the trajectory anchors offer an efficient initial trajectory candi…

… anchors to the refinement module, our query-based decoder can better deal with the
multimodality in the output of trajectory prediction. … uncertainty in the output of trajectory prediction, …

… Each path is represented as a sequence of 2D points in space … goal paths as spatial anchors
for our trajectory predictions. … Uncertainty-aware short-term motion prediction of traffic actors …

… a novel multi-modal trajectory prediction architecture. We … uncertainty, our approach also
models motion uncertainty by … decoupling the predictions across multiple anchors brings a …