Recently, SDAS(Advanced driver-assistance system) are being installed to assist driving of vehicles and improve driver convenience. LDWS(Lane departure warning system) and FCWS(Forward collision warning system) are the core of the technology. Among these, FCWS is evaluated as a key assistive technology to prevent vehicle crashes. Accordingly, many algorithms are being developed and tested to improve detection speed and actual detection algorithms are being commercialized. In this paper, We propose the design of a system that optimizes FCWS speed by considering the AI performance of the terminal device when implemented as an embedded system.

Recently, due to the expansion of data communication between objects, research related to data communication technology applied to vehicles is being actively conducted. This study selects a network with Wi-Fi 6, which is advantageous in bandwidth, communication speed, and wireless saturation of a wireless network for mobile terminal data communication, and designs and implements Wi-Fi 6 in a vehicle network. In addition, a continuous variable communication structure is proposed to enable high speed data switching in consideration of the characteristics of mobile communication terminal devics, indicating that connection operation and response speed are improved compared to Wi-Fi standard communication methods, and it can be extended to a system for road networks and autonomous driving by expanding it to various event data communication between vehicles.

We introduce the technology required todevelop a bracket process for installing and verifying FRT bumper sensors for passenger cars. Establish and demonstrate process automation through actual design and manufaturing. We conduct quality inspection of the production process using artificial intelligence and develop technology to automatically detect good and defective products and increase the reliability of the process

Recent, there has been a need for a terminal device with artificial intelligence to detect emergency situations in various means of transportation to prevent overdischarge of the battery even when parking the vehicle for a long time so that the driver can properly prepare. The transmission system, which guides the situation and location information of the vehicle, uses AHD video technology and RTOS technology to reduce the load of wireless networks by increasing the video playback rate through UDP implementation by WiFi, and stabilizes through wireless networks and low-power sensors using LoRa services.