A geometric obstacle avoidance model is proposed for traffic environments with dynamic obstacles, which can describe the relationship between vehicle and obstacle movements. By decomposing the spatial distance between the vehicle and the obstacle into two directional components and incorporating their relative speed, three key elements are obtained. Based on these elements, an improved obstacle avoidance model is developed. Using the Model Predictive Control (MPC) principle, the discrete vehicle kinematics model is employed as the predictive model. The objective function and constraints are constructed by adopting the Frenet coordinate system and considering factors such as road boundaries, the vehicle's mechanical structure, driving safety and comfort. Finally, a nonlinear programming problem is established and solved. In this paper, the SF5 is used as the experimental vehicle, with hardware and sensors installed to build an autonomous driving platform. A trajectory planning algorithm was deployed on a ROS and Matlab/Simulinkbased software platform for realworld vehicle testing. The results show that this method not only ensures smooth obstacle avoidance, but also produces a reasonable and comfortable driving path.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |