一种基于车云协同的自动驾驶全局速度规划方法及系统
By using vehicle-cloud collaboration technology and combining global route gradient and historical vehicle speed data, the vehicle speed can be adjusted in real time, solving the problem of the inability to globally optimize fuel consumption and timeliness in commercial vehicle autonomous driving, and improving the economy and timeliness of global speed planning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGFENG COMML VEHICLE CO LTD
- Filing Date
- 2024-06-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing speed planning methods for autonomous driving in commercial vehicles mainly focus on micro-control strategy planning for a specific driving segment and traffic conditions, and cannot achieve fuel consumption or time efficiency optimization for the entire driving route.
By using vehicle-cloud collaboration technology and combining the gradient of the global route to slice the data, the historical optimal speed data of vehicles is obtained. Combined with the global slice road information, the vehicle speed is adjusted in real time to optimize fuel consumption. With the instructions of the upstream behavior planning module, global speed planning is achieved.
Optimize fuel consumption from a holistic perspective to improve economy, ensure travel timeliness, and obtain the best driving experience.
Smart Images
Figure CN118850108B_ABST