For the so-called memory-type automatic parking, vehicles need to remember the location and path first. Wu Xiqing, CEO of Otmin, said in response to DIGITIMES's visit that memory-type automatic parking technology is currently applicable to more closed parking spaces. In the futur

Author: DIGITIMES Li Yihan

The so-called memory automatic parking (AVP), vehicles need to remember the location and path first. Wu Xiqing, CEO of Otmin, said in response to DIGITIMES visit that memory automatic parking technology is currently applicable to more closed parking spaces. In the future, it will be based on memory parking technology and continue to develop towards open fields. It is expected that automatic parking solutions for airports, ports, and even roadside parking can be developed.

Restrictions on memory parking

Can memory parking solve parking problems in cities? In this regard, Wu Xiqing said that the parking problem in Taiwan is that there are many cars and few locations, and uneven distribution, which leads to drivers having to spend a lot of time looking for parking spaces; however, at this stage, memory parking cannot solve the problem of roadside parking.

Wu Xiqing said that the areas suitable for importing memory parking are parking lots with slower average speed and fixed parking locations, such as residential buildings, commercial buildings, etc. Most parking lots now have regulations that vehicles must not exceed 15 to 20 kilometers per hour. The solution aims at highly repetitive parking behaviors, and the vehicle can complete the first 100 meters and reproduce the previously completed parking behaviors.

level of open field

automatic parking must move from closed field to mixed traffic, just like driving from closed field to open road; Wu Xiqing said that vehicles cannot only solve the parking needs in front of them, but need to obtain high-precision map models through high-speed transmission networks and master the path and spatial information of the entire parking lot. Only by supplementing information from high-precision maps can we avoid relying on "historical records".

Wu Xiqing said that the vehicle's information on high-precision maps can be mainly divided into three parts, namely path, parking space information, and parking lot positioning information. Among them, parking lot positioning information is important, communication with vehicles is important.

There are two ways to exchange data between parking lot location information and vehicles. The first is to actively detect the characteristic points of the parking lot by the vehicle side, which requires low field infrastructure construction of the parking lot; on the contrary, the vehicle must be able to identify the characteristic points of the field and have the computing ability to compare the characteristic point information with the received high-precision map information, and then accurately locate the vehicle body.

The second is to install a facility in the parking lot that can emit positioning information, and a receiver that can detect these positioning information is matched with the vehicle body. Through the principle of V2X, the car knows where it is in the parking lot.

Wu Xiqing said that in the future where both roadside equipment and self-driving cars are developing rapidly, there should be two situations parallel. The diverse sensing equipment and powerful computing capabilities of the vehicle body, as well as the positioning equipment installed on the field end, will enable automatic parking to break the limitations of closed fields and meet different road situations.