Uber, which previously recruited numerous Carnegie Mellon University researchers to develop self-driving cars, has already begun testing its experimental vehicles in parts of Pittsburgh, Pennsylvania. Uber has also stated that it plans to conduct more frequent road tests. If successful, Uber's services in the United States may soon be driven by self-driving cars. This will also reduce labor costs, leading to more affordable fares and addressing past disputes over driver quality.
(Photo taken from the Pittsburgh Business Times website)
According toPittsburgh Business TimesA black sedan bearing the Uber Innovation Center logo was spotted in Pittsburgh, Pennsylvania, USA. It was also equipped with the same LiDAR sensor module used in Google's self-driving cars, indicating that Uber is currently testing its self-driving car equipment. An Uber spokesperson later confirmed that the vehicle was indeed an Uber test vehicle and that more frequent road testing would be planned.
Prior to this, the market reported that Uber had been poaching numerous researchers from Carnegie Mellon University's National Robotics Research Center (NREC) and collaborating with Baidu on mapping technology to develop its own self-driving car fleet. According to Uber CEO Travis Kalanick, further integration of self-driving car technology will enable more efficient ride-hailing services, lower fares due to reduced labor costs, and address past disputes over driver quality.
Uber has not yet disclosed when its driverless cars are expected to be officially put into service, but if all goes well, perhaps when you use Uber services in the United States in the future, the driverless car system will be responsible for driving.
Google, which has also invested in the development of self-driving cars for a long time, is expected toSelf-driving cars will be tested on public roads this summerThe plan is to enable unmanned vehicles to drive smoothly during rush hours or in narrow lanes, thereby confirming that the unmanned vehicle system can still successfully complete autonomous driving tasks in real-life situations, and then invest in more market applications and development.
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