Ewoud A.I. Pool
Ewoud A.I. Pool
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Zitiert von
Zitiert von
Context-based path prediction for targets with switching dynamics
JFP Kooij, F Flohr, EAI Pool, DM Gavrila
International Journal of Computer Vision 127 (3), 239-262, 2019
Using road topology to improve cyclist path prediction
EAI Pool, JFP Kooij, DM Gavrila
2017 IEEE Intelligent Vehicles Symposium (IV), 289-296, 2017
Multi-class road user detection with 3+ 1D radar in the View-of-Delft dataset
A Palffy, E Pool, S Baratam, JFP Kooij, DM Gavrila
IEEE Robotics and Automation Letters 7 (2), 4961-4968, 2022
Context-based cyclist path prediction using recurrent neural networks
EAI Pool, JFP Kooij, DM Gavrila
2019 IEEE Intelligent Vehicles Symposium (IV), 824-830, 2019
SafeVRU: A research platform for the interaction of self-driving vehicles with vulnerable road users
L Ferranti, B Brito, E Pool, Y Zheng, RM Ensing, R Happee, B Shyrokau, ...
2019 IEEE Intelligent Vehicles Symposium (IV), 1660-1666, 2019
Crafted vs learned representations in predictive Models—A case study on cyclist path prediction
EAI Pool, JFP Kooij, DM Gavrila
IEEE Transactions on Intelligent Vehicles 6 (4), 747-759, 2021
An experimental study on 3D person localization in traffic scenes
JR Van Der Sluis, EAI Pool, DM Gavrila
2020 IEEE Intelligent Vehicles Symposium (IV), 1813-1818, 2020
Context-Based Path Prediction for Targets with Switching Dynamics
FF Flohr, JFPK Kooij, EAIP Pool, DMG Gavrila
Context-based Cyclist Path Prediction: Crafted and Learned Models for Intelligent Vehicles
EAI Pool
Delft University of Technology, 2021
Assignment 1-camera calibration
D Gavrila, J Kooij, R Ensing, E Pool, Z Xia, T Hehn
Delft University of Technology, 2020
Optimizing the Uncertainty Bounds for a Robust Control Problem using Moving Horizon Estimation
EAI Pool
Crafted vs. Learned Representations in Predictive Models
EAI Pool, JFP Kooij, DM Gavrila
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