According to 36Kr, on April 18, at the media communication meeting of Jidu Automobile, Jidu announced the use of two lidars for its first model car robot concept car. At the same time, the new car is expected to be officially unveiled in June, the production version will be released in 2023, and its second production car will be expected to be released at the Guangzhou Auto Show at the end of this year.
Judging from the concept car product map, the lidar is installed on the left and right sides of the front cover of the first model of Jidu, and the AT 128 semi-solid-state lidar of Hesai Technology is used.
At the meeting, Wang Weibao, head of Jidu Automobile's intelligent driving, revealed that NVIDIA's on-board chip Orin and Hesai's semi-solid-state lidar have been put on the car to participate in the test of Jidu's automatic driving system. This is the first exposure of Jidu Automobile's lidar autonomous driving technology solution.
In December last year, Jidu Automobile completed autonomous driving tests in the urban and high-speed domains on its SIMUCar (Software Integration Mule Car), which is still based on a pure vision algorithm scheme.
However, in the SIMUCar 2.0 of Jidu Automobile announced on the 18th, Jidu said that two lidar sensors have joined its automatic driving system and are integrated with Jidu's automatic driving intelligent architecture JET1.0 (JIDU Evolving Technology, including electrical and electronic architecture + SOA).
Wang Weibao said that the pure vision and lidar autonomous driving scheme being tested and developed in the SIMUCar 2.0 stage is an independent dual system that can achieve "true redundancy" after mass production. Compared with the traditional solution, the two sets of automatic driving solutions of Jidu are mutual backup and complement each other, and the two sets of solutions can not only drive themselves efficiently, but also efficiently coordinate.
In addition, the official said that the "dual lidar" design scheme of Jidu Automobile is very innovative, and the location of the lidar is not only distinctive, the appearance is very plus, and the configuration of its dual lidar also shows safety advantages.
First of all, the point cloud field of view of dual lidar is wider and safer, compared with the 120-degree FOV design of single radar, the frontal dual radar can achieve horizontal 180-degree FOV coverage, and in the driving scenes such as "ghost probes" and left and right obstructions, the recognition ability of left and right traversing pedestrians or obstacles is stronger.
Secondly, the identification of the key area of the vehicle is more accurate, in the area of 60 degrees FOV directly in front of the vehicle, the dual lidar can be doubled and overlapped, and the point cloud data on the target is more, and the recognition accuracy is higher.
Third, in terms of the redundancy safety of high-level automatic driving, dual lidar can be mutually safe and redundant, which is more reliable than the single lidar solution.
Wang Weibao believes that the SIMUCar 1.0 stage is like a person's primary school stage, which is a key period for laying a good foundation, focusing more on the basic capacity building of automatic driving, including the development of software architecture and related basic functional logic, and adapting to the chassis.
SIMUCar 2.0 is like the middle school stage, which is a period of gradual improvement and formation of basic capabilities, in this stage, the underlying architecture of SIMUCar has been upgraded to a high-level autonomous driving intelligent architecture JET developed by Jidu, including electronic and electrical architecture EEA and vehicle operating system SOA. At this time, the relevant domain controllers and sensors have gradually reached the mass production state, and some basic automatic driving capabilities, including ADAS functions, parking, intelligent interaction, etc., will gradually reach the mass production state.