Deep learning type intelligent driving environment perception system based on Internet of Things

Abstract

The invention discloses a deep learning type intelligent driving environment perception system based on the Internet of Things and belongs to the field of intelligent perception systems. According tothe invention, the system comprises a perception system and an intelligent driving vehicle, and the perception system comprises a perception layer and a cognition layer. A decision-making layer and acontrol layer are arranged on the intelligent driving vehicle. The perception layer is used for data acquisition, the decision-making layer is used for planning the information and routes transmittedby the cognition layer, carrying out processing by use of algorithms, and outputting an instruction for adjusting the vehicle speed and direction to the control layer, and the control layer receives the instruction of the decision-making layer and controls a brake, an accelerator and gears of the vehicle. According to the scheme, the implementation mode of unmanned driving is improved, all movingand static obstacles on a road are collected through the perception system, data information of the obstacles is sent to all intelligent driving vehicles running on the road, and the technical difficulty and the production cost are reduced while the safety and the stability of unmanned driving are improved.

Description

technical field [0001] The invention relates to the field of intelligent perception systems, more specifically, to a deep learning type intelligent driving environment perception system based on the Internet of Things. Background technique [0002] As the future research direction of automobiles, unmanned driving has a profound impact on the automobile industry and even the transportation industry. The advent of unmanned vehicles will liberate human hands, reduce the frequency of traffic accidents, and ensure people's safety. . At the same time, with the breakthrough and continuous advancement of core technologies such as artificial intelligence and sensor detection, unmanned driving will become more intelligent, and at the same time, it will be able to realize the industrialization of unmanned vehicles. [0003] Unmanned driving technology, especially the Internet and non-traditional auto companies joining this field, has made this technology fall into a "red sea" before i...

AI Technical Summary

Problems solved by technology

So there will be accidents caused by factors such as untimely discovery, untimely response, and insufficient response time.

However, with the intelligent unmanned driving mode that still continues the artificial "personal independent behavior ability", of course, the above-mentioned problems still exist, and they have not been fundamentally resolved. Theoretically, there is still the possibility of the above-mentioned accidents.

Images