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Intentions of Vulnerable Road Users - Detection and Forecasting by Means
  of Machine Learning

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning

9 March 2018
M. Goldhammer
S. Köhler
Stefan Zernetsch
Konrad Doll
Bernhard Sick
Klaus C. J. Dietmayer
ArXivPDFHTML

Papers citing "Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning"

3 / 3 papers shown
Title
Cyclist Intention Detection: A Probabilistic Approach
Cyclist Intention Detection: A Probabilistic Approach
Stefan Zernetsch
H. Reichert
Viktor Kress
Konrad Doll
Bernhard Sick
26
3
0
19 Apr 2021
A Multi-State Social Force Based Framework for Vehicle-Pedestrian
  Interaction in Uncontrolled Pedestrian Crossing Scenarios
A Multi-State Social Force Based Framework for Vehicle-Pedestrian Interaction in Uncontrolled Pedestrian Crossing Scenarios
Dongfang Yang
Keith A. Redmill
Ü. Özgüner
24
19
0
15 May 2020
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories
  at German Intersections
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock
R. Krajewski
Tobias Moers
Steffen Runde
Lennart Vater
L. Eckstein
AI4TS
41
354
0
18 Nov 2019
1