According to previous reports, in November 2023, GAC Toyota’s new new energy brand Platinum Zhi was released at the 2023 Guangzhou Auto Show. The first pure electric model Platinum Zhi 4X was launched simultaneously, priced from 179,800 RMB to 238,800 RMB.

Bozhi 4X adopts a closed front face design. The front grille, lower air intake and air intakes on both sides are decorated in black. The headlights are equipped with four light sources; the length, width and height are 4690/1860/1650mm respectively, and the wheelbase is 2850mm.

Bozhi 4X is available in three interior colors: cool black, light luxury gray and stylish red. It is equipped with a 7-inch instrument panel + 12.3-inch floating central control screen + three-spoke multi-function steering wheel.

Bozhi 4X provides two types of power: single-motor two-wheel drive and dual-motor four-wheel drive. The maximum power of a single motor is 150kW, the maximum torque is 266.3N·m, and the pure electric range is 615km under CLTC conditions; the total power of the dual motors is 160kW, and the total torque is 337N·m. The pure electric range is 560km under CLTC operating conditions.

In terms of assisted driving, Bozhi 4X supports LDA (lane departure warning system), PCS (pre-collision safety system), PDA (predictive active driving assistance system), LTA (intelligent lane tracking system), EDSS (emergency driving stop system) ), AHB (Automatic High Beam Control System), RSA (Road Sign Recognition Assist System) and DRCC (Dynamic Radar Cruise Control System) and other functions.

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The official public number of Pony Intelligence that, according to the agreement, the joint venture company will be set up within the year, with an investment of more than RMB 1 billion, and will provide Toyota pure electric vehicle platforms produced by GAC-Toyota for use in the Robotaxi. These vehicles are fitted with redundant vehicle systems provided by Toyota that can accommodate fully unmanned autonomous driving, equipped with Pony Intelligence’s self-driving system, and will provide self-driving mobility services for passengers through Pony Intelligence’s Robotaxi operating platform.

▲ Picture source Pony.ai official account

According to the official introduction of Ponywise, the company has already realized the commercial demonstration operation of L4 level Robotaxi and has become an important strategic partner of Toyota Motor in the field of self-driving mobility services. Back in August 2019, Ponywise and Toyota announced the formal establishment of a partnership, and the establishment of the joint venture is a new step in the comprehensive upgrade of strategic cooperation with Toyota.

At present, Pony Smart has launched self-driving mobility services in four major cities, namely Beijing, Shanghai, Guangzhou and Shenzhen, and will promote the unmanned, commercialized and scaled development of self-driving in the future.

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After obtaining the permit, the 10 unmanned test vehicles of Pony.ai will start a new test form in the core area of ​​60 square kilometers in the Economic and Technological Development Zone, covering the complex urban road scenes in Yizhuang, which will help improve unmanned vehicles in a safe and controllable manner. Maximize the efficiency of technical verification, and gradually expand the scale and scope of testing.

This time, Baidu Apollo launched the first batch of 10 fifth-generation unmanned vehicles, Apollo Moon, to carry out front-row unmanned road tests within a 60-square-kilometer high-level autonomous driving demonstration zone in Beijing.

In October last year, the Beijing Intelligent Connected Vehicle Policy Pioneer Zone opened up autonomous driving and unmanned road tests, and at the same time issued the country’s first unmanned road test management implementation rules. The implementation rules clearly divide the test into three stages: “passenger driver”, “no one in the front row, people in the back row”, and “remote outside the vehicle”, orderly promoting the industry to enter the stage of unmanned vehicles. The detailed rules put forward requirements for applicants and test vehicles from the perspectives of application conditions and review, test supervision and management, traffic violations and accident handling, and violation handling.

Pony.ai said that compared with previous test forms, test forms such as “no one in the front row” and “remote outside the vehicle” are helpful for autonomous driving companies to deal with extreme scenarios, redundant system solutions, remote assistance platforms, and service operations. Experience, etc. give a more objective judgment, reduce the influence of human factors in the takeover, and obtain true and complete performance data.

Pony.ai has started unmanned tests with the main driver without a safety officer in Beijing, Guangzhou and other cities, and opened the corresponding Robotaxi service to the public. Carrot Run has launched autonomous driving commercial travel services in Beijing, Chongqing, Wuhan, Changsha, Hefei, Yangquan and other cities, among which Chongqing and Wuhan have realized autonomous driving commercial travel services without safety personnel in the car. As of July, the total order volume of Carrot Kuaipao exceeded 1 million orders, and Baidu has become the world’s largest self-driving travel service provider.

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According to the official introduction, Pony.ai has carried out all-round innovations in the software algorithms, sensor solutions, modeling design, and vehicle-by-wire chassis of the autonomous driving system, focusing on improving the stability and reliability of the heavy-duty truck products of autonomous driving vehicles under complex working conditions. Compatibility, to meet the subsequent mass production needs, in order to maximize the benefits of trunk logistics.

The next-generation system fully considers the needs of the autonomous driving trunk logistics business from the definition, development and mass production. Products with large-scale application capabilities of self-driving trucks.

The sensor solution of the third-generation autonomous truck system follows the multi-sensor deep fusion technology. The total number of sensors is 20, mainly using vehicle-grade sensor devices. Breakthroughs have been made in areas such as blind spots and long-tail scene processing.

Under the business requirements of high-speed driving and high load, the sensor solution consists of 1 ultra-long-range camera, 2 long-range cameras, 1 mass-produced vehicle-grade long-range lidar, and 1 long-range millimeter-wave radar. The ultra-long-distance perception module can cover the detection of obstacles from 200 meters to 1000 meters forward. Calculated at the truck’s 90 km/h driving speed, the ultra-long-distance perception module allows the autonomous truck to accurately identify the faulty vehicle ahead 30 seconds in advance, so as to avoid obstacles calmly.

Autonomous truck sensor solutions and their coverage

At the same time, in order to ensure the safety recall of obstacles within 200 meters around the body, especially the recognition of fallen cones, road potholes or thrown objects, the solution includes a 360° panoramic perception module, which consists of two 360° lasers. It consists of radar, 3 blind-filling lidars, 3 cameras, and 2 millimeter-wave radars, which are distributed on the front, rear and sides of the vehicle, solving the industry pain point of the near blind spot of the truck.

This system solution is also an important technical achievement since the cooperation between Pony.ai and Sany Heavy Truck was announced. Based on the autonomous driving prototype vehicle that the two parties have cooperated and verified in advance, Sany Heavy Truck is developing a new wire-controlled chassis for the first autonomous driving heavy truck product, fully considering the needs of autonomous driving, with full functions, low latency, high precision and strong robustness Features.

In terms of hardware design, the new generation of sensor kits adopts an exclusive integrated arc design (Sensor Arc), which improves the integration of key components and reduces the difficulty of truck installation and maintenance. Similar to the passenger car system solution released this year, Pony.ai has also added a Sensor Cleaning System to the truck system, and integrated aerodynamic principles into the industrial design of the sensor contact surface to effectively reduce dirt retention. It reduces the influence of rain, fog, sand, snow, and sludge that are common in trunk transportation on the sensitivity of the sensor, and can be applied to various working conditions.

In terms of software development, the new-generation system solution adopts a new sensor solution and algorithm design, so as to be flexibly compatible with various types of freight hanging boxes; in addition, the algorithm system can precisely adjust the horizontal and vertical control sensitivity of the vehicle according to the type of cargo and transportation requirements to ensure the protection of glass and ceramic tiles. Safe and smooth transportation of fragile items.

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