暂无分享,去创建一个
Patrik Feth | Daniel Schneider | Andreas Jedlitschka | Rasmus Adler | Pascal Bauer | Michael Kläs | Lisa Jöckel | Mohammed Naveed Akram | Pascal Gerber
[1] Chih-Hong Cheng,et al. Neural networks for safety-critical applications — Challenges, experiments and perspectives , 2017, 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE).
[2] R.R. Zakrzewski,et al. Randomized approach to verification of neural networks , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[3] Xiang-dong Chen,et al. Multisensor Track Occupancy Detection Model Based on Chaotic Neural Networks , 2015, Int. J. Distributed Sens. Networks.
[4] Chaulwar Amit,et al. A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios , 2016 .
[5] Homayoun Seraji,et al. Rule-based reasoning and neural network perception for safe off-road robot mobility , 2002, Expert Syst. J. Knowl. Eng..
[6] Carl E. Landwehr,et al. Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.
[7] Qichao Zhang,et al. Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier] , 2017, IEEE Computational Intelligence Magazine.
[8] Gustavo Pessin,et al. A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone , 2017, ICANN.
[9] Roberto Cipolla,et al. Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning , 2017, IJCAI 2017.
[10] Jim Austin,et al. Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications , 2004, IDEAL.
[11] Canyong Wang,et al. Research and Application of Traffic Sign Detection and Recognition Based on Deep Learning , 2018, 2018 International Conference on Robots & Intelligent System (ICRIS).
[12] D. Howard,et al. Artificial Neural Network Prediction Using Accelerometers to Control Upper Limb FES During Reaching and Grasping Following Stroke , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[13] Lincheng Shen,et al. A saliency-based reinforcement learning approach for a UAV to avoid flying obstacles , 2018, Robotics Auton. Syst..
[14] Simon Burton,et al. Making the Case for Safety of Machine Learning in Highly Automated Driving , 2017, SAFECOMP Workshops.
[15] Chaomin Luo,et al. A computationally efficient neural dynamics approach to trajectory planning of an intelligent vehicle , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).
[16] Martin Jägersand,et al. Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[17] Patrick Doherty,et al. Deep Learning Quadcopter Control via Risk-Aware Active Learning , 2017, AAAI.
[18] S. Huseinbegovic,et al. Road Type Recognition Using Neural Networks for Vehicle Seat Vibration Damping , 2008, 2008 IEEE International Symposium on Signal Processing and Information Technology.
[19] Marco Botta,et al. Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms , 2010, ECAI.
[20] Marcello R. Napolitano,et al. Bounding set calculation for neural network-based output feedback adaptive control systems , 2010, Neural Computing and Applications.
[21] Luca Pulina,et al. An Abstraction-Refinement Approach to Verification of Artificial Neural Networks , 2010, CAV.
[22] Zhenglong Sun,et al. Passive magnetic-based localization for precise untethered medical instrument tracking , 2018, Comput. Methods Programs Biomed..
[23] Wenhu Qin,et al. Research on a DSRC-Based Rear-End Collision Warning Model , 2014, IEEE Transactions on Intelligent Transportation Systems.
[24] Kai Petersen,et al. Guidelines for conducting systematic mapping studies in software engineering: An update , 2015, Inf. Softw. Technol..
[25] Yang Lei,et al. Railway Subgrade Defect Automatic Recognition Method Based on Improved Faster R-CNN , 2018, Sci. Program..
[26] Ammar Belatreche,et al. An experimental evaluation of novelty detection methods , 2014, Neurocomputing.
[27] Yan Liu,et al. Application of Neural Networks in High Assurance Systems: A Survey , 2010, Applications of Neural Networks in High Assurance Systems.
[28] Xiao Zeng,et al. MobileDeepPill: A Small-Footprint Mobile Deep Learning System for Recognizing Unconstrained Pill Images , 2017, MobiSys.
[29] Boubekeur Mendil,et al. Toward safety navigation in cluttered dynamic environment: A robot neural-based hybrid autonomous navigation and obstacle avoidance with moving target tracking , 2015, 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT).
[30] Chaomin Luo,et al. Safety aware robot coverage motion planning with virtual-obstacle-based navigation , 2015, 2015 IEEE International Conference on Information and Automation.
[31] Brian J. Taylor,et al. Verification and validation of neural networks: a sampling of research in progress , 2003, SPIE Defense + Commercial Sensing.
[32] Bojan Cukic,et al. An Approach to V&V of Embedded Adaptive Systems , 2004, FAABS.
[33] Liyan Zhang,et al. Application of Internet of Things Technology and Convolutional Neural Network Model in Bridge Crack Detection , 2018, IEEE Access.
[34] James H. Graham,et al. A neuro-fuzzy approach for robot system safety , 2001, IEEE Trans. Syst. Man Cybern. Syst..
[35] Simon Burton,et al. Structuring Validation Targets of a Machine Learning Function Applied to Automated Driving , 2018, SAFECOMP.
[36] ZeFeng Wang,et al. Aircraft fault diagnosis and decision system based on improved artificial neural networks , 2012, 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).
[37] David Lowe,et al. Point-Wise Confidence Interval Estimation by Neural Networks: A Comparative Study based on Automotive Engine Calibration , 1999, Neural Computing & Applications.
[38] Wei-Ngan Chin,et al. Automated Technology for Verification and Analysis , 2010, Lecture Notes in Computer Science.
[39] Guanpeng Li,et al. Understanding Error Propagation in Deep Learning Neural Network (DNN) Accelerators and Applications , 2017, SC17: International Conference for High Performance Computing, Networking, Storage and Analysis.
[40] Chun-Ming Tsai,et al. Pedestrian, bike, motorcycle, and vehicle classification via deep learning: Deep belief network and small training set , 2016, 2016 International Conference on Applied System Innovation (ICASI).
[41] Chris J. Harris,et al. Multi-sensor data fusion for helicopter guidance using neuro-fuzzy estimation algorithms , 1996 .
[42] Biao Yang,et al. On Road Vehicle Detection Using an Improved Faster RCNN Framework with Small-Size Region Up-Scaling Strategy , 2017, PSIVT Workshops.
[43] R. R. Zakrzewski. Verification of performance of a neural network estimator , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[44] Thomas A. Runkler,et al. Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies , 2016, Eng. Appl. Artif. Intell..
[45] Giuseppe Lami,et al. Challenges in Certification of Autonomous Driving Systems , 2017, 2017 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).
[46] Luca Pulina,et al. NeVer: a tool for artificial neural networks verification , 2011, Annals of Mathematics and Artificial Intelligence.