3results about How to "Achieving safe driving" patented technology

An intelligent vehicle active obstacle avoidance control method based on visual perception is used for improving the driving safety of a vehicle in a complex traffic scene. The invention relates to the field of intelligent driving. The system comprises an upper layer and a lower layer, the upper layer is an environment sensing module, and the lower layer comprises a risk assessment module, a path planning module and a pure tracking algorithm. The upper-layer environment sensing module comprises RRW-YOLOv11n, multi-scale features are extracted through an RGCEBlock module, feature fusion is enhanced through a Re-calibration FPN structure, the bounding box regression precision is optimized by using a WPIOU loss function, and finally sensing information is output; a lower-layer risk assessment module performs multi-source risk assessment to obtain a multi-source risk probability, calculates a posterior risk probability through Bayesian risk fusion, and plans a path through a path planning module; path tracking control is carried out through a pure tracking algorithm, and safe driving of the vehicle in a complex traffic scene is achieved.

The utility model discloses an anti-skid icebreaking wheel for an off-highway transport vehicle and the off-highway transport vehicle. The anti-skid icebreaking wheel comprises a non-metal tire and a metal hub. The non-metal tire is installed on the metal hub, and a plurality of conical bosses are arranged on the surface of the non-metal tire in an array mode. The road ice crusher can crush ice layers on a road surface, has a driving function of a common road surface, and provides a better solution for driving safety in winter.

The application discloses a kind of intelligent vehicle active obstacle avoidance control methods based on visual perception, to improve the driving safety of vehicle in complex traffic scene.The application relates to the field of intelligent driving.The application includes upper and lower two layers, the upper layer is environment perception module, the lower layer includes risk assessment module, path planning module and pure tracking algorithm.The upper layer environment perception module includes RRW-YOLOv11n, multi-scale features are extracted through RGCEBlock module, feature fusion is enhanced by Re-calibration FPN structure, the boundary box regression accuracy is optimized using WPIoU loss function, and finally the perception information is outputted;The lower layer risk assessment module carries out multi-source risk assessment to obtain multi-source risk probability, and the posterior risk probability is calculated after Bayes risk fusion, and the path is planned out by path planning module;Path tracking control is carried out by pure tracking algorithm, to realize the safe driving of vehicle in complex traffic scene.