China has determined its best self-parking car: what is known about Denza N7

The Chinese automaker Denza surprised with the results of its Denza N7 model during blogger tests of automatic parking systems. The company won this competition despite the fact that it installs BYD equipment on its cars, which is not considered the most advanced.

According to Car News China, five models took part in the series of tests: Avatr 12, Aito M7, Denza N7, Xpeng G6, and IM LS6. All the cars are equipped with a lidar and have the most powerful intelligent driving capabilities available within each brand. The cars underwent a series of four parking tests to determine the best. The tests included reverse parking, reverse parking in a narrow space, parking at an angle, and parking with a wall in front.

In the first test, all the cars except the IM LS6 successfully completed the task. The IM LS6, although able to detect the space, was unable to complete the maneuver and stopped halfway through. The fastest car to complete the test was the Avatr 12, which completed all three attempts in less than a minute each. No other car managed to complete the maneuver in less than a minute.

Denza N7 and Aito M7 performed similarly. They were very successful in recognizing the parking space and actually parking. All three of these cars were able to park in the center of the allotted space. However, the Xpeng G6 failed to do so, as it constantly leaned slightly to the right. In addition, the Xpeng showed the slowest time of 1:27.12. Thus, the Avatr 12 won the first test. In this case, the length of the parking space was 6 meters, the width was 2.5 meters, and the width of the road in this case was five meters.

In the parallel parking test, the winner was the Xpeng G6, which showed the best time of 1:04.03. In addition, in one of the attempts, it needed only two shifts between forward and reverse. The Avatr 12 and Denza N7 were able to park in the center on every attempt, while the Xpeng G6 and Aito M7 parked with a leftward deviation in one case. Once again, the IM LS6 performed the worst, failing to complete the second attempt and parking too far to the left in the other two attempts. In addition, it showed the slowest time of 1:39.53 seconds. The parking space was six meters long, 2.5 meters wide, and the width of the road with which the car was trying to park parallel to was four meters.

In the case of angled parking, only three cars were able to complete the test. Both the Xpeng G6 and the IM LS6 failed to recognize the space in all three attempts and therefore failed. The other three cars parked successfully in each of the attempts. Here, the Denza N7 was the clear winner, setting the fastest time all three times. It also needed fewer shifts between forward and reverse than its competitors. In this case, the parking space was slightly larger than in the other tests, measuring 2.8 meters wide and 6 meters long, and the width of the road used for the car was 4.5 meters.

The last test, parking in front of a wall, was the most difficult. In it, the car moved forward toward the wall at the end of the parking space. The test simulated a scenario for parking in a covered parking lot. Neither the Xpeng G6 nor the IM LS6 was able to complete the task. Xpeng G6 simply reported that the parking space was unavailable. The IM LS6, on the other hand, tried to plan a path and make a U-turn before giving up halfway through.

Both the Aito M7 and Avatr 12 using the Huawei system took a similar approach to solving the space problem. Each car managed to park on the first attempt, but the other two failed because they could not recognize the space. Moreover, both cars moved forward when they completed the task.

The only car that passed this test was the Denza N7, which successfully completed all three attempts. Unlike the Huawei-powered cars, the Denza successfully reversed in all three attempts and was correctly centered, unlike the M7 parked on the right. The space itself was six meters long and 2.5 meters wide, and the road the car was approaching was six meters wide.

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