Follow
Stewart Worrall
Title
Cited by
Cited by
Year
Naturalistic driver intention and path prediction using recurrent neural networks
A Zyner, S Worrall, E Nebot
IEEE transactions on intelligent transportation systems 21 (4), 1584-1594, 2019
1442019
Long short term memory for driver intent prediction
A Zyner, S Worrall, J Ward, E Nebot
2017 IEEE Intelligent Vehicles Symposium (IV), 1484-1489, 2017
1422017
A recurrent neural network solution for predicting driver intention at unsignalized intersections
A Zyner, S Worrall, E Nebot
IEEE Robotics and Automation Letters 3 (3), 1759-1764, 2018
1182018
Automated process for generating digitised maps through GPS data compression
S Worrall, E Nebot
Australasian conference on robotics and automation 6, 2007
1172007
An unsupervised approach for inferring driver behavior from naturalistic driving data
A Bender, G Agamennoni, JR Ward, S Worrall, EM Nebot
IEEE transactions on intelligent transportation systems 16 (6), 3325-3336, 2015
692015
Extending time to collision for probabilistic reasoning in general traffic scenarios
JR Ward, G Agamennoni, S Worrall, A Bender, E Nebot
Transportation Research Part C: Emerging Technologies 51, 66-82, 2015
672015
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
S Verma, JS Berrio, S Worrall, E Nebot
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3906-3912, 2019
592019
Vehicle collision probability calculation for general traffic scenarios under uncertainty
J Ward, G Agamennoni, S Worrall, E Nebot
2014 IEEE Intelligent Vehicles Symposium Proceedings, 986-992, 2014
502014
Automated evaluation of semantic segmentation robustness for autonomous driving
W Zhou, JS Berrio, S Worrall, E Nebot
IEEE Transactions on Intelligent Transportation Systems 21 (5), 1951-1963, 2019
482019
Towards provably not-at-fault control of autonomous robots in arbitrary dynamic environments
S Vaskov, S Kousik, H Larson, F Bu, J Ward, S Worrall, ...
arXiv preprint arXiv:1902.02851, 2019
482019
Demonstrations of cooperative perception: Safety and robustness in connected and automated vehicle operations
M Shan, K Narula, YF Wong, S Worrall, M Khan, P Alexander, E Nebot
Sensors 21 (1), 200, 2020
472020
Probabilistic crowd GAN: Multimodal pedestrian trajectory prediction using a graph vehicle-pedestrian attention network
S Eiffert, K Li, M Shan, S Worrall, S Sukkarieh, E Nebot
IEEE Robotics and Automation Letters 5 (4), 5026-5033, 2020
462020
Probabilistic long-term vehicle motion prediction and tracking in large environments
M Shan, S Worrall, E Nebot
IEEE Transactions on Intelligent Transportation Systems 14 (2), 539-552, 2012
292012
Predicting driver intent from models of naturalistic driving
A Bender, JR Ward, S Worrall, EM Nebot
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
282015
The warrigal dataset: Multi-vehicle trajectories and v2v communications
J Ward, S Worrall, G Agamennoni, E Nebot
IEEE Intelligent Transportation Systems Magazine 6 (3), 109-117, 2014
272014
Using non-parametric filters and sparse observations to localise a fleet of mining vehicles
S Worrall, E Nebot
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
272007
A probabilistic method for detecting impending vehicle interactions
S Worrall, E Nebot
2008 IEEE International Conference on Robotics and Automation, 1787-1791, 2008
242008
Camera-LIDAR integration: Probabilistic sensor fusion for semantic mapping
JS Berrio, M Shan, S Worrall, E Nebot
IEEE Transactions on Intelligent Transportation Systems 23 (7), 7637-7652, 2021
222021
Haul truck alignment monitoring and operator warning system
E Nebot, J Guivant, S Worrall
Journal of Field Robotics 23 (2), 141-161, 2006
222006
Improving vehicle safety using context based detection of risk
S Worrall, D Orchansky, F Masson, E Nebot
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
212010
The system can't perform the operation now. Try again later.
Articles 1–20