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A Chinese tech giant has opened its autonomous robot taxis to the public on the streets of Shanghai. Passengers can hail one of the self-driving taxis at around 150 stations in Jiading District, a residential and commercial district of Shanghai. As the system is currently in the testing phase, the service is free and will operate daily from 9:30 p.m. to 11:00 p.m. via an app.
Autonomous taxis have a combination of lidar, radar, cameras, and GPS – similar to setups used by other autonomous driving technology companies, making them capable of Level 4 range. that in most cases the vehicle does not require human interaction and can be driven entirely. A human overseer will nevertheless be on standby at all times during the Shanghai trials.
Autonomous vehicles have accumulated more than 8.7 million kilometers of tests. Its goal is to put around two hundred vehicles on Shanghai’s roads in the near future and says it is testing or deploying five hundred vehicles in thirty cities. Shanghai is the fifth city in which the service has been deployed after Guangzhou, Changsha, Cangzhou and Beijing, all cities of more than 6.5 million people.
The service has also expanded to Beijing as fully driverless robot taxis began operating last April. Robot taxis have an operator seated in the passenger seat, rather than at the wheel, to reassure passengers. The journeys in Beijing cost 30 yuan (around £ 3.40), although elsewhere journeys remain free, as the system is still in the testing phase.
In addition to autonomous taxis, a leading Chinese autonomous driving company also unveiled its latest L4 level unmanned delivery vehicles and smart solutions recently, as the commercialization of autonomous driving accelerates in the country with driverless applications. faster than expected.
The latest unmanned delivery vehicles have already offered delivery services to communities in overseas markets and are capable of dealing with complex scenarios of open roads in urban villages, urban-rural intersections as well as city centers. Unmanned delivery vehicles have been applied to industries such as automotive manufacturing, hazardous chemicals, food processing, agricultural animal husbandry, civil aviation, and industrial parks.
In China, a strong unmanned distribution business model has been formed with technologies capable of meeting different needs. The industry as a whole is expected to benefit from large-scale commercial applications over time.
For some time now, domestic tech companies have been stepping up their efforts in unmanned delivery services, which are expected to generate huge business value in a variety of activities such as express delivery, takeout ordering, food ordering. fresh produce and retail pharmaceuticals.
Beijing also issued temporary self-driving license plates to 99 vehicles from 15 companies, including online food delivery giants, self-driving businesses and ridesharing platforms, which marked an important step for the commercialization of autonomous driving.
As reported by OpenGov Asia, the Ministry of Transport (MOT) and the Ministry of Science and Technology jointly issued a directive defining key innovation-based transport technologies for China through 2035. The directive sets the ’emphasis on technological breakthroughs in the transport sector. It sets the objective of achieving self-sufficiency with regard to key transport technologies by 2035. The mechanisms will be optimized to stimulate the vitality of innovative entities as much as possible. Legislation on artificial intelligence (AI), autonomous driving and unmanned aerial vehicles (UAVs) will be studied and developed.
Although intelligent public transport service is currently limited to selected areas, they have been tried in a variety of application scenarios such as residential communities, commercial areas and industrial parks to increase transport efficiency and reduce fuel consumption.
The pioneers of the demonstration have constantly fine-tuned and improved the systems while extending the safe operating mileage, increasing the number of passengers, investing in technological upgrading and building infrastructure to meet the demand for transportation. intelligent audiences.
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