Searched for: subject%3A%22Prediction%22
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document
Roth, M. (author), Stapel, J.C.J. (author), Happee, R. (author), Gavrila, D. (author)
We present a novel method for vehicle-pedestrian path prediction that takes into account the awareness of the driver and the pedestrian towards each other. The method jointly models the paths of vehicle and pedestrian within a single Dynamic Bayesian Network (DBN). In this DBN, sub-graphs model the environment and entity-specific context cues...
journal article 2022
document
Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This paper compares two models for context-based path prediction of objects with switching dynamics: a Dynamic Bayesian Network (DBN) and a Recurrent Neural Network (RNN). These models are instances of two larger model categories, distinguished by whether expert knowledge is explicitly crafted into the state representation (and thus is...
journal article 2021
document
Wang, Y. (author), Correia, Gonçalo (author), de Romph, E. (author), Santos, Bruno F. (author)
This study uses mobile phone data to understand mobility patterns in a country, with limited mobility data, in order to give advice about decisions on how to design the national and regional road network. Our method consists of three parts: (1) filtering mobile phone traces to derive mobility patterns, (2) building an adapted formulation of the...
journal article 2018
document
Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Roncoli, Claudio (author), Hoogendoorn, S.P. (author)
This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...
journal article 2018
document
Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
We learn motion models for cyclist path prediction on real-world tracks obtained from a moving vehicle, and propose to exploit the local road topology to obtain better predictive distributions. The tracks are extracted from the Tsinghua-Daimler Cyclist Benchmark for cyclist detection, and corrected for vehicle egomotion. Tracks are then...
conference paper 2017
document
Kolekar, S.B. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral...
conference paper 2017
Searched for: subject%3A%22Prediction%22
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