Traffic environment modeling method

Abstract

The invention provides a traffic environment modeling method which comprises the following steps: calculating the collision probability of a vehicle and an object according to the position of the vehicle, the position of the object and a distribution factor; calculating the risk level of the object according to the type, size and speed of the object; calculating a driving environment risk field according to the collision probability of the vehicle and the object and the risk level of the object; and according to the driving environment risk field, modeling is carried out to generate a risk distribution map in the traffic environment. Therefore, the complex traffic environment is normalized, different traffic environments are quantized in a unified manner, and the motion states of the traffic elements are added into environment modeling, so that potential risks are reflected.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

The technology described in this patented describes an algorithm that helps predict potential hazards on road networks based upon their current conditions or how they move around over time. This allows for more accurate prediction than just looking at past data alone.

Problems solved by technology

This patented technical problem addressed by this patents relating to autonomously driven vehicles (ADVs) involves understanding how objects move around within their surrounding environments without being affected or influenced negatively through external forces such as gravity waves caused by other moving things like cars).

Images