男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Motoring

Pony.ai does a giddyap in driverless biz

Firm's Level 4 autonomous tech aims to reach more urban areas nationwide

By FAN FEIFEI | China Daily | Updated: 2024-07-31 09:41
Share
Share - WeChat
Driverless cars of Pony.ai are displayed at an expo in Shanghai on July 10, 2021. [Photo/VCG]

Chinese self-driving startup Pony.ai is accelerating steps to bolster the mass production and deployment of its Level 4 autonomous driving vehicles as part of its broader push to realize the commercial application of the self-driving technology in more cities.

Peng Jun, co-founder and CEO of Pony.ai, said China is expected to become the world's largest autonomous driving mobility services market in the next five to 10 years, adding that currently the company's Level 4 driverless tech has been able to realize large-scale commercial operations.

Currently, autonomous driving is categorized from Level 0 to Level 5. The higher the level, the more advanced and intelligent the technology. L4 autonomy means vehicles can drive themselves in most conditions without a human backup driver.

Peng said the company has cooperated with Sino-Japanese joint venture GAC Toyota to build new-generation self-driving driving vehicles, and advance the mass production and large-scale use of driverless robotaxis. It has also launched a robotaxi fleet with Ontime, a Chinese mobile transportation services provider.

Earlier this month, Pony.ai received permits to operate fully driverless robotaxis, in which no safety supervisors are present, along a 205-kilometer route in Shanghai's Pudong New Area. Individuals can now book driverless robotaxis in designated areas in Shanghai via its mobile app.

Prior to receiving this approval, the company had already obtained licenses for fully driverless robotaxi services in Beijing, and Guangdong province's Guangzhou and Shenzhen.

Pony.ai announced it had launched the paid robotaxi services at Beijing Daxing International Airport in June, and has been among the first batch of companies in Beijing allowed to carry out trial commercial operation of autonomous driving vehicles on expressways.

The permits come with the precondition that a safety inspector will sit behind the steering wheel and take manual control in case of an emergency. The move signifies the inaugural launch of paid autonomous driving services at a major transportation hub in Beijing.

Peng said autonomous driving will become a pivotal part of smart transportation and drive the construction of smart cities, with far-reaching impacts, such as improving the overall economy and changing the way people travel.

The company has also been making forays into the self-driving truck segment, hoping to test self-driving trucks on more expressways to provide safer and more effective solutions and improve logistics efficiency.

Yang Diange, a professor at Tsinghua University's School of Vehicle and Mobility, said, "L4 self-driving technology will first be deployed in taxis, trucks and some designated areas, and large-scale application of such technology in private vehicles might be seen by 2030."

Commercial operation of self-driving vehicles will promote the iteration and innovation of technologies, and help enterprises explore viable business models, thus allowing autonomous driving technologies to create more value, Yang said.

In recent years, China has introduced a series of policies to promote the development and commercial use of self-driving technology.

The Ministry of Industry and Information Technology as well as four other central government departments selected 20 cities — including Beijing, Shanghai and Chongqing — earlier this month to participate in a pilot program of "vehicle-road-cloud integration" for intelligently connected vehicles.

More than 50 cities nationwide have released autonomous driving pilot demonstration policies, and stepped up efforts to expand the application scenarios of self-driving technology.

Zhang Xiang, an auto sector researcher at North China University of Technology, said production costs of driverless vehicle components, such as lidar sensor systems, have declined along with advances in self-driving technology and maturation of related industrial chains.

He said more efforts are needed to accelerate the building of an intelligent transportation system, including the 5G-enabled vehicle-to-everything technology, which allows a vehicle to share real-time information with other vehicles, pedestrians and roadway infrastructure such as traffic lights to improve efficiency.

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 荔浦县| 林芝县| 隆昌县| 囊谦县| 尼玛县| 新兴县| 新密市| 库尔勒市| 南乐县| 广东省| 醴陵市| 静宁县| 武威市| 灵石县| 巨鹿县| 普安县| 德惠市| 嘉善县| 夏河县| 金阳县| 芜湖市| 江油市| 株洲市| 班戈县| 招远市| 元朗区| 舒城县| 鄄城县| 太康县| 青海省| 肇东市| 大同县| 华池县| 永善县| 措勤县| 丰都县| 建德市| 大厂| 花莲市| 乐业县| 屯留县| 南康市| 河间市| 驻马店市| 阜新| 怀安县| 五寨县| 柘城县| 方城县| 巩义市| 常德市| 南安市| 巴马| 隆林| 佛山市| 勃利县| 高陵县| 南昌市| 邵武市| 徐水县| 庄河市| 松溪县| 黄冈市| 佳木斯市| 诸城市| 芦溪县| 上蔡县| 左贡县| 绍兴县| 柏乡县| 南宁市| 依兰县| 东台市| 隆林| 翁牛特旗| 珲春市| 西畴县| 介休市| 新疆| 神池县| 阿城市| 瓦房店市|