中国智能驾驶行业洞察2021-26页.pdf

特斯拉智能驾驶技术分享PPT

本文档从巡航功能的场景定义、功能状态机迁移、域控制器系统需求进行阐述。其中，功能场景达41条场景描述与最关键信息的定义（包含智能限速、V2X以及红绿灯交通）；状态机迁移阐述了7个状态之间的条件切换；域控制器系统需求从法规、交互体验以及与关键关联系统的信息交互进行阐述，达35条需求 信息。此外，后续会持续更新相关的kpi以及功能安全的相关信息。

智能驾驶核心软件产业研究报告（2021）

英语学习者，汽车从业者，智能驾驶入门

本文档主要介绍智能驾驶等级划分以及对应的解析

本文档从场景划分释义目前市场的智驾相关的功能； 本文档仅限于个人使用，不能用于除个人以外的使用。

本文档主要介绍智能驾驶常用的一些交互设计显示。

智能驾驶相关 轨迹跟踪 模型预测 Abstract—Path tracking issues of autonomous ground vehicles (AGVs) have attracted more attention in recent years with the intelligent and electrified development of vehicles. In order to make AGVs path tracking problem more flexible, regional path tracking problem is discussed in this manuscript based on model predictive control (MPC) method, where the front wheel steering angle is regarded as the control variable. The feasible region for AGVs running is determined first according to the detected road boundaries. In the following, AGVs running in this region is considered using kinematic model. Then, in order to make the actual trajectory of AGVs keep in the region and satisfy the safety requirements, MPC method is employed to design path tracking controller considering the vehicle dynamics, the actuator and state constraints. In order to verify the effectiveness of the proposed algorithm, simulations under various test conditions are carried out using a high fidelity vehicle simulator veDYNA, where the Hongqi vehicle HQ430 parameters are matched. The results obtained from the simulation illustrate that the proposed algorithm obtains good performance in dealing with the regional path tracking problem.

智能网联车辆与普通车辆混和运行的交通流状态，输出交通流密度，速度，流量等数据，进行仿真