Hitachi Automotive Systems and Clarion Co., Ltd. announced that they have developed a basic collision warning technology that can quickly predict and calculate the speed mode in real time based on the movement of pedestrians to ensure safety. The two companies have confirmed the feasibility of the technology, and their tests on the test car prove that the technology can be safe at actual driving speed. Hitachi will continue to test repeatedly to accelerate the development of technology and contribute to the commercial operation of automated driving.
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The need for autonomous driving is increasing to better solve social problems such as reducing traffic accidents, solving/slowing traffic congestion, assisting aging traffic systems, and so on. Hitachi has led the development of some technologies to contribute to the large-scale realization of automatic driving including urban roads, parking lots and highways.
Compared to high speed, automatic driving on urban roads is more complicated because it requires identification of various obstacles and moving objects such as shuttle cars and pedestrians, and prejudging their movements to determine the implementation and current environment. The corresponding driving style. Automated driving involves a high level of recognition, judgment and implementation, just like people do to react to changes that are about to happen. These reactions are real-time, based on such pre-judgment, collisions can be avoided, and driving is safe and practical. Under the speed.
Hitachi developed a technology that can solve the above problems and was confirmed on the test car. The following are the main features of this technology.
1. Speed ​​control is based on the prejudgment of the movement of the object
According to the method previously used for robot path planning, the anti-collision technology developed by Hitachi Group for automatic driving uses the positional relationship between moving objects and obstacles to predict future movements. In particular, they simulate changes in displacement. For example, if a pedestrian avoids a parked vehicle and an obstacle, his probability of passing through some spatial directions will be low. If the system predicts the possibility of hitting a pedestrian or a car, the technique can use the best speed reduction method to slowly slow down the speed. When the system predicts that everything is safe, it will keep a certain speed from slowing down.
2. Optimize driving speed with high speed calculation
In some environments, there are very moving objects or obstacles around the car, and it is important to consider the safety of driving and to maintain the best speed. This requires real-time planning of the best speed mode to reduce the collision and keep it comfortable. Driving speed. Therefore, it is necessary to use high speed calculation to get the best driving speed. In the past, it was difficult to calculate the optimal result in a short time because the computer load was too high when calculating the optimal speed. Therefore, it is necessary to quickly acquire the memory, which stores the data map of the collision possibility to reduce the calculation amount of the optimization speed. The traditional method is to express the collision possibility based on the direction of motion and road width on a 2D map, and use a more advanced method 1D road map on autonomous vehicles, which saves the road width information for faster access. Memorize information. In the future, using multi-route parallel calculations to optimize driving speed may significantly speed up the calculation. The effects of this technology have been tested on a new field-editable logic gate array (FPGA) test circuit, which shows that the computational speed is nearly 200 times faster than a typical embedded system. This technology enables real-time calculation of optimal driving speed.
Tests on the test car demonstrate the effectiveness of the new technology. The results show that it is achievable to pass through pedestrians with comfortable acceleration (less than 2.2 m/s2) and acceleration range (less than 2.0 m/s3) during actual driving.
In the future, Hitachi will test the test vehicles in different driving environments, including the Mcity test, which opened in July 2015. This is a test site dedicated to testing autonomous vehicles and car-connected vehicles.
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