无人车决策控制/Recurrent neural network/Deep Learning for Self-Driving Cars
1.相关无人车课程
1.1Recurrent neural network-香港中文大学
1.2Deep Learning for Self-Driving Cars-MIT

2.相关决策论文
3.相关控制论文
4.课题组无人车报告


名称
+C:\Users\Hetairae\Downloads\新建文件夹 (3)\无人车决策控制\
+课题组无人车报告
| 韩威-无人驾驶车辆实时高精度轨迹跟踪问题研究.pdf
| 季向阳-多模态信息无人驾驶 - 清华大学.pdf
| 李得毅-驾驶脑设计与实现.pptx
| 李得毅-驾驶认知的形式化.pptx
| 李得毅-交互认知初探0628.pptx
| 李得毅-适配控制器1130.ppt
| 殷嘉伦-驾驶态势图与对数极坐标.pptx
| 殷嘉伦-无人驾驶车辆决策关键技术研究.pdf
| 殷嘉伦-智能车双总线架构与自学习.pptx
| 殷嘉伦-智能驾驶深度学习初探.pdf
| 殷嘉伦-智能驾驶深度学习初探.pptx
| 张天雷-AI-Pilot, towards the next generation highly autonomous driving.pdf
+相关决策论文
|+ITSC2016
|+IV2016
| 2009_Thesis_Hsu_Estimation_Control_of_Lateral_Tire_Forces.pdf
| 2010_Thesis_Laws_An_Active_Camber_Concept_for_Extreme_Maneuverability.pdf
| 2011_Thesis_Beal_Applications_of_Model_Predictive_Control_to_Vehicle_Dynamics_for_Active_Safety_and_Stability.pdf
| 2012_Thesis_Bobier_A_Phase_Portrait_Approach_to_Vehicle_Stabilization_and_Envelope_Control.pdf
| 2013_Thesis_Hindiyeh_Dynamics_and_Control_of_Drifting_in_Automobiles.pdf
| 2015_Thesis_Erlien_Shared_Vehicle_Control_using_Safe_Driving_Envelopes_for_Obstacle_Avoidance_And_Stability.pdf
| A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles.pdf
| Automatic_Steering_Methods_for_Autonomous_Automobile_Path_Tracking.pdf
| Autonomous+Driving+in+Urban+Environments+-+Boss+and+the+Urban+Challenge.pdf
| DuelingNetworkArchitecturesforDeepReinforcementLearning.pdf
| Junior_The_Stanford_Entry_in_the_Urban_Challenge.pdf
| montemerlo_etal_aaai06.pdf
| planlongdynfeasmotions_rss08.pdf
| thrun.stanley05.pdf
| towards+fully+autonomous+driving+systems+and+algorithms.pdf
| U156420061_Proposal.pdf
+相关控制论文
| 2012_Thesis_Kritayakirana_Autonomous_Vehicle_Control_at_the_Limits_of_Handling.pdf
| A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles.pdf
| KeenCole_AVEC_2006.pdf
| Multi-modal Sensor Registration for Vehicle.pdf
| 基于二自由度模型的无人驾驶车辆轨迹跟踪控制研究.pdf
| 汽车理论(第5版).pdf
+相关无人车课程
+Deep Learning for Self-Driving Cars
| lecture1.pdf
| lecture2.pdf
| lecture3.pdf
| lecture4.pdf
| lecture5.pdf
+Recurrent neural network
Chapter 1 Introduction to deep learning.pdf
Chapter 10 Understand deep learning.pdf
Chapter 2 Machine learning basics.pdf
Chapter 3 Multilayer neural network.pdf
Chapter 4 Convolutional neural network.pdf
Chapter 5 Deep belief net.pdf
Chapter 6 Autoencoder.pdf
Chapter 7 Recurrent neural network.pdf
Chapter 8 Examples of deep learning applications.pdf
Chapter 9 Optimization of training deep neural networks.pdf