iHorizon extension for vehicle applications

[1]  Jos Elfring,et al.  Effective World Modeling: Multisensor Data Fusion Methodology for Automated Driving , 2016, Sensors.

[2]  Kalevi Huhtala,et al.  Constrained Global Path Optimization for Articulated Steering Vehicles , 2016, IEEE Transactions on Vehicular Technology.

[3]  Chung Choo Chung,et al.  Robust Multirate Control Scheme With Predictive Virtual Lanes for Lane-Keeping System of Autonomous Highway Driving , 2015, IEEE Transactions on Vehicular Technology.

[4]  Victor C. S. Lee,et al.  Improving Positioning Accuracy Using GPS Pseudorange Measurements for Cooperative Vehicular Localization , 2014, IEEE Transactions on Vehicular Technology.

[5]  Le Yi Wang,et al.  Communication Information Structures and Contents for Enhanced Safety of Highway Vehicle Platoons , 2014, IEEE Transactions on Vehicular Technology.

[6]  Qingquan Li,et al.  A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios , 2014, IEEE Transactions on Vehicular Technology.

[7]  Francesco Giordano,et al.  Input Variable Selection in Neural Network Models , 2014 .

[8]  Kejie Lu,et al.  A Disturbance-Adaptive Design for VANET-Enabled Vehicle Platoon , 2014, IEEE Transactions on Vehicular Technology.

[9]  S. Poczter,et al.  The Google Car: Driving Toward A Better Future? , 2013 .

[10]  Zhuo Wang,et al.  From model-based control to data-driven control: Survey, classification and perspective , 2013, Inf. Sci..

[11]  Aurora Hermoso-Carazo,et al.  Distributed and centralized fusion estimation from multiple sensors with Markovian delays , 2012, Appl. Math. Comput..

[12]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[13]  Bryan A. Tolson,et al.  Review of surrogate modeling in water resources , 2012 .

[14]  Myoungho Sunwoo,et al.  Enhanced Road Boundary and Obstacle Detection Using a Downward-Looking LIDAR Sensor , 2012, IEEE Transactions on Vehicular Technology.

[15]  Hao Yu,et al.  Improved Computation for Levenberg–Marquardt Training , 2010, IEEE Transactions on Neural Networks.

[16]  Piet Demeester,et al.  A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design , 2010, J. Mach. Learn. Res..

[17]  Andy J. Keane,et al.  Recent advances in surrogate-based optimization , 2009 .

[18]  Gary Witzenburg,et al.  The autonomous future , 2008 .

[19]  William Whittaker,et al.  Autonomous driving in urban environments: Boss and the Urban Challenge , 2008, J. Field Robotics.

[20]  K. P. Sudheer,et al.  A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models , 2002 .

[21]  T. Simpson,et al.  Comparative studies of metamodelling techniques under multiple modelling criteria , 2001 .

[22]  Holger R. Maier,et al.  Determining Inputs for Neural Network Models of Multivariate Time Series , 1997 .

[23]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[24]  B. S. Manjunath,et al.  Multisensor Image Fusion Using the Wavelet Transform , 1995, CVGIP Graph. Model. Image Process..

[25]  S. Grime,et al.  Data fusion in decentralized sensor networks , 1994 .

[26]  Martin Fodslette Møller,et al.  A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.

[27]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .