Context-based pedestrian path prediction. In David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, editors, Computer Vision - ECCV 2014, pages 618-633, Cham, 2014. Springer International Publishing.J. Kooij, N. Schneider, F. Flohr, and D. Gavrila, "Context-based pedes- trian ...
Like some research predicting vehicle [5] or pedestrian [6] motion trajectories, aircraft can be estimated based on their motion history. Their methods use the idea that the object is actively moving in most cases. However, aircraft in an apron does not drive fast due to their enormous size...
This field of view resulted in very low complexity and intra-class variance in GTOS (e.g., pedestrian’s feet were not observed in the image) compared to the higher view in MAGFRA-W and may reduce the prospects for generalizability to everyday terrains. Although there are 40 different ...
Zhang P, Ouyang W, Zhang P, Xue J, Zheng N (2019) Sr-lstm: state refinement for lstm towards pedestrian trajectory prediction. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 12085–12094 LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521...
Context-based pedestrian path prediction. In European Con- ference on Computer Vision, pages 618-633. Springer, 2014. 1Kooij, J.F.P., Schneider, N., Flohr, F., Gavrila, D.M.: Context-based pedestrian path prediction. In: European Conference on Computer Vision, Springer (2014) 618-633...
Context-based pedestrian path prediction. In Computer Vi- sion - ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI, pages 618-633, 2014.J. Kooij, N. Schneider, F. Flohr, and D. M. Gavrila, "Context-based pedestrian path p...
A robust step detection and stride length estimation for pedestrian dead reckoning using a smartphone. IEEE Sens. J. 2020, 20, 9685–9697. [Google Scholar] [CrossRef] Ladetto, Q. On foot navigation: Continuous step calibration using both complementary recursive prediction and adaptive Kalman ...
Agent-based analysis of the square demonstrates the intensity of potential pedestrian flows, ranging from high in red to low in blue (left). The analysis distinctly illustrates the disruption caused by the extensive vehicular road and the poor square layout. This finding is corroborated by a high...
Object detection can be practiced in multiple areas, for example, facial recognition, pedestrian detection, vehicle detection, and remote sensing detection. The task of object detection generally consists of two parts [5]: classification and localization. Classification refers to determining which ...
Object detection can be practiced in multiple areas, for example, facial recognition, pedestrian detection, vehicle detection, and remote sensing detection. The task of object detection generally consists of two parts [5]: classification and localization. Classification refers to determining which ...