| LIDAR–camera fusion for road detection using fully convolutional neural networks L Caltagirone, M Bellone, L Svensson, M Wahde Robotics and Autonomous Systems 111, 125-131, 2019 | 375 | 2019 |
| Fast LIDAR-based road detection using fully convolutional neural networks L Caltagirone, S Scheidegger, L Svensson, M Wahde 2017 ieee intelligent vehicles symposium (iv), 1019-1024, 2017 | 285 | 2017 |
| Biologically inspired optimization methods: an introduction M Wahde WIT press, 2008 | 270 | 2008 |
| Coarse-grained reverse engineering of genetic regulatory networks M Wahde, J Hertz Biosystems 55 (1-3), 129-136, 2000 | 233 | 2000 |
| Sleepy driving on the real road and in the simulator—A comparison D Hallvig, A Anund, C Fors, G Kecklund, JG Karlsson, M Wahde, ... Accident Analysis & Prevention 50, 44-50, 2013 | 189 | 2013 |
| Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator–the DROWSI project T Åkerstedt, M Ingre, G Kecklund, A Anund, D Sandberg, M Wahde, ... Journal of sleep research 19 (2), 298-309, 2010 | 155 | 2010 |
| A review of near-collision driver behavior models G Markkula, O Benderius, K Wolff, M Wahde Human factors 54 (6), 1117-1143, 2012 | 142 | 2012 |
| A numerical simulation of the brightness variations of OJ 287 B Sundelius, M Wahde, HJ Lehto, MJ Valtonen The Astrophysical Journal 484 (1), 180, 1997 | 131 | 1997 |
| The characteristics of sleepiness during real driving at night—a study of driving performance, physiology and subjective experience D Sandberg, A Anund, C Fors, G Kecklund, JG Karlsson, M Wahde, ... Sleep 34 (10), 1317-1325, 2011 | 129 | 2011 |
| Detecting driver sleepiness using optimized nonlinear combinations of sleepiness indicators D Sandberg, T Akerstedt, A Anund, G Kecklund, M Wahde IEEE Transactions on Intelligent Transportation Systems 12 (1), 97-108, 2010 | 115 | 2010 |
| Modeling genetic regulatory dynamics in neural development M Wahde, J Hertz Journal of computational Biology 8 (4), 429-442, 2001 | 95 | 2001 |
| Introduction to neural networks M WAHDE | 89 | 1996 |
| LIDAR-based driving path generation using fully convolutional neural networks L Caltagirone, M Bellone, L Svensson, M Wahde 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 82 | 2017 |
| Comparing and validating models of driver steering behaviour in collision avoidance and vehicle stabilisation G Markkula, O Benderius, M Wahde Vehicle system dynamics 52 (12), 1658-1680, 2014 | 68 | 2014 |
| Particle swarm optimization of feedforward neural networks for the detection of drowsy driving D Sandberg, M Wahde 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 55 | 2008 |
| Determination of orbital parameters of interacting galaxies using a genetic algorithm-description of the method and application to artificial data M Wahde Astronomy and Astrophysics Supplement Series 132 (3), 417-429, 1998 | 54 | 1998 |
| A brief review of bipedal robotics research M Wahde, J Pettersson Proceedings of the 8th UK Mechatronics Forum International Conference …, 2002 | 48 | 2002 |
| Effects of experience and electronic stability control on low friction collision avoidance in a truck driving simulator G Markkula, O Benderius, K Wolff, M Wahde Accident Analysis & Prevention 50, 1266-1277, 2013 | 46 | 2013 |
| Determination of the orbital parameters of the M 51 system using a genetic algorithm M Wahde, KJ Donner Astronomy & Astrophysics 379 (1), 115-124, 2001 | 43 | 2001 |
| Learning traversability from point clouds in challenging scenarios M Bellone, G Reina, L Caltagirone, M Wahde IEEE Transactions on Intelligent Transportation Systems 19 (1), 296-305, 2017 | 42 | 2017 |
