搜索资源列表
Driverless-car
- this a very simple program that implements a moving car which tried to avoid certain positions (obstacles) in a 2-D array-this is a very simple program that implements a moving car which tried to avoid certain positions (obstacles) in a 2-D array..
no-person-drive-car
- 中设计的无人驾驶电动汽车(图1)是集无人驾驶技术、 四轮独立电驱动技术和底盘电子控制技术于一体的智能电动 汽车 -In the design of unmanned electric vehicles (Figure 1) is a driverless technology, four-wheel independent electric drive technology and chassis electronic control technology in one of the
tps51632-regulator
- Regulator driver for TPS51632 3-2-1 Phase D-Cap Step Down Driverless Controller with serial VID control and DVFS.
Traffic-sign-Recognition
- This source code for automatic traffic sign detection and recognition.It is very useful in autonomous driverless car design-This is source code for automatic traffic sign detection and recognition.It is very useful in autonomous driverless car design
test
- 基于CARSIM的驾驶员预瞄模型实现无人车路径跟踪(The pilot model realizes the path tracking of the driverless car)
自动驾驶学习资料整理一20170912
- THIS IS A DRIVERLESS PROGRAM
051749080831156 (1)
- 实现人工机器人自主导航，可用于用于无人驾驶(Autonomous navigation for artificial robots can be used for driverless driving)
模型预测控制
- 基于模型预测控制的无人驾驶车辆轨迹跟踪问题研究(Research on trajectory tracking problem of driverless vehicle based on model predictive control)
AutoDrivingBook
- <无人驾驶车辆模型预测控制>书中所有代码，为初学无人驾驶提供一定参考(< driverless vehicle model predictive control > all the codes in the book, provide some reference for beginners to learn driverless driving.)
使用树莓派3b来实现无人驾驶汽车
- 使用树莓派3b来实现无人驾驶汽车，使用ROS把各种传感器连接起来。(Using raspberry pie 3b to realize driverless car,and use ROS to connect all kinds of sensors.)
lqr
- 无人驾驶汽车运动控制分为纵向控制和横向控制。纵向控制是指通过对油门和制动的协调，实现对期望车速的精确跟随。横向控制实现无人驾驶汽车的路径跟踪。其目的是在保证车辆操纵稳定性的前提下，不仅使车辆精确跟踪期望道路，同时使车辆具有良好的动力性和乘坐舒适性。(The motion control of driverless cars is divided into vertical control and lateral control. Longitudinal control refers to th
第6章
- 《无人驾驶模型预测控制》由北京理工大学陈慧岩教授团队编著，详细介绍了应用模型预测控制理论进行无人驾驶车辆控制的基础方法，结合运动规划与跟踪实例详细说明了预测模型建立、方法优化、约束处理和反馈校正的方法，给出了Matlab仿真代码和详细图解仿真步骤。 所有代码都详细提供了详尽的注解，本文件为第六章的所有程序代码(The prediction control of driverless model is compiled by Professor Chen Huiyan of Beijing Uni
无人驾驶车辆模型预测控制_13585781
- 《无人驾驶模型预测控制》由北京理工大学陈慧岩教授团队编著，详细介绍了应用模型预测控制理论进行无人驾驶车辆控制的基础方法，结合运动规划与跟踪实例详细说明了预测模型建立、方法优化、约束处理和反馈校正的方法，给出了Matlab仿真代码和详细图解仿真步骤。 对照原书可更方便/快速的学习代码(The prediction control of driverless model is compiled by Professor Chen Huiyan of Beijing University of tec
无人驾驶车辆模型预测控制包括代码
- 无人驾驶车辆模型预测控制PDF版+原书代码 清晰，经典书籍，具有非常好的参考价值，适合初学MPC的研究者 本书主要介绍模型预测控制理论与方法在无人驾驶车辆运动规划与跟踪控制中的应用。(model Predictive control for self-driving vehicles Clear, classic books, with very good reference value, suitable for beginners of MPC researchers This bo
路径规划
- 利用mpc实现路径规划，无人驾驶汽车，代码可直接运行(Path planning of driverless vehicle based on MPC model predictive control)
chap5 Matlab Code
- 基于动力学学模型的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第五章(Trajectory tracking control based on dynamics model, Chapter 5 of model predictive control of driverless vehicle)
chap6_LocalPlan_TrackingCtrl
- 加入规划层的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第六章(Add trajectory tracking control of planning layer, Chapter 6 of the second version of model predictive control of driverless vehicles)
第5章
- 实现无人驾驶车辆基于车辆动力学模型的轨迹跟踪及路径规划(Track tracking and path planning of driverless vehicle based on vehicle dynamics model)
循迹控制
- 无人驾驶汽车轨迹规划，MPC模型预测控制，可直接运行(Path planning of driverless vehicle based on MPC model predictive control)
rrt_star_2D3D
- rrt算法在2维和3维环境的规划，均为matlab代码，可用于无人驾驶汽车和移动机器人路径规划(The codes of RRT algorithm in 2 and 3 dimensional environments are matlab codes, which can be used for the path planning of driverless cars and mobile robots)