Because there is no eye tracking technology in the cockpit, there will be a problem of insufficient accuracy. The main problem leading to the fitting of vehicle content to road information. Although the above-mentioned intermodal transportation technologies are already in use, drivers still make misjudgments when making decisions.
Usage accuracy will vary
With changes in the environment and individual differences between different drivers. Take the Xpeng Motors owner who used the buy telemarketing data system’s assisted driving function in 2016 as an example. Due to his small and intelligent eyes, it was determined that he fell asleep while driving.
It is not easy to achieve
significant technical improvement while driving points are deducted. The accuracy rate takes the speech recognition accuracy rate as an in the world of seo keeping up with google’s example, the 2007 Chinese speech accuracy rate. The recognition rate reached 10 in the laboratory environment, but no obvious changes were seen.
Over the next few years, a number of inaccurate results occurred due to a single modality. Accuracy Issues There are bigger issues with fusion between modalities, especially when certain modalities are fused. Patterns involve environmental and human factors, such as a driver’s focus on the road.
There are no abnormalities in the
front, steering wheel rotation angle, and other parameters. Can road deviation determine whether the driver is driving seriously? The answer is no. Because the driver may be in a daze and already in a state of absent-mindedness. This happens because of the blinking head movement of a person when they are in a daze. And other actions will not show distraction and fatigue, and the system cannot sense whether. The driver drives normally, so there may be many uncertainties behind various situations.
People who solve similar problems must pay attention to the black technology achieved through modal fusion. Objectivity and accuracy of solutions are available in addition to multimodal interactions. There are still many beb directory technical issues that need to be overcome. The biggest obstacle during implementation is the lack of computing power.
Car companies are integrating
more cameras and sensors into cockpits, regardless of algorithm. In addition to the multi-screen interface of the smart cockpit, adequate use is also a problem. and a variety of common computing-intensive applications. Multi-modal modes, such as sound source localization, word recognition, and speech noise reduction for voice interaction. Voice recognition offline command recognition face recognition gesture recognition driver monitoring system navigation map navigation.