Developed automatic driving park connection and transport vehicles, “Wind Map Intelligence Technology” aimed at medium and low speed transportation wisdom scenes


Despite the capital and technology intensive, the automatic driving of this track has never lacked new players at home and abroad.36氪 Recently, Venti Technologies (hereinafter referred to as “Wind Map Intelligence Technology”) is a high-reliability and low-cost solution for low- to medium-speed (also known as “safe speed”) scenarios.Start-up company for automated driving solutions.Its autonomous driving solutions include sensing, positioning, planning, decision making and control with a maximum vehicle speed of around 30 mph (48 km/h).Wind Map Intelligence Technology was founded in November 2018 by Heidi Wyle, Daniela Rus and Saman Amarasinghe.The company’s CEO, Heidi Wyle, is a serial entrepreneur who previously founded two biotech companies, including Computational Biology Corporation (acquired by Agilent) and Ardais Corporation.She holds a Ph.D. from the Massachusetts Institute of Technology (MIT) and holds an MBA from Harvard Business School (the winner of the Baker Scholarship).The other two co-founders of Wind Map Intelligence are professors in the Department of Electrical Engineering and Computer Science at MIT.Among them, Daniela Rus is the director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).Dr. Zhao Yanyan, CEO and R&D Vice President of Wind Map Intelligent Technology, graduated from Hamburg University of Technology, Germany, majoring in computer vision and machine learning. He was a senior director of Bosch China.Although the company was not established for a long time, Heidi Wyle told 36 that their autonomous driving technology was inspired by the pre-development of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Singapore-MIT Joint Research Center (SMART).There have been 9 years of accumulation.SMART is a research institute established by MIT and the National Research Foundation of Singapore, and is the only research center outside of the United States.Heidi Wyle, founder and CEO of Wind Map Intelligence, was interviewed by 36氪 (Source: Wind Map Intelligence) Wind Map Intelligence said they have provided more than 2,000 road tests and public demonstrations in the US, Singapore and China.The driving experience, its autonomous driving software system has been tested on seven different mobile platforms, including passenger cars, golf carts, shuttle buses, logistics vehicles, wheelchairs, single-person scooters and sanitation vehicles.In February 2019, the company’s self-driving transport vehicle completed a 5,000-kilometer endurance test in Suzhou, during which no manual intervention caused by software system failure occurred.Heidi Wyle tells 36 that their self-driving vehicles can transport people as well as transport goods.At present, Fengtu Intelligent Technology is cooperating with a company with the top five market capitalization in China to develop logistics transportation in the park. The specific partners have not disclosed it yet.At the same time, they also cooperated with China Life Insurance to test the auto-driving travel service in a high-end retirement community in Suzhou. Currently, it has been trial operation for 3 months, 5 days a week, 9 hours a day, and several autopilot vehicles will be in the community.Fixed site parking connection and round trip.Heidi Wyle said that China Life believes that such a shuttle bus can “substantially reduce the labor costs of the old-age community.”Wind Map Intelligence Technology’s unmanned shuttle bus in the old-age community in Suzhou (Source: Wind Map Intelligence Technology) Wind Map Intelligence Technology said that they plan to launch a second-generation park autonomous driving jointly developed with Guangzhou Field Group in October this year.Vehicles provide services to the field group in Guangzhou.The two sides began cooperation in April last year. In July last year, they jointly launched the first generation of models at the Shenzhen Science and Technology Expo.When it comes to competitive advantage, Heidi Wyle said that their autopilot algorithm has been accumulating for nine years, and the cost of the solution is 30%-65% lower than their peers.In addition, they can collect and draw a map of the park in as little as half a day, and it takes only 2 days to build an automatic driving technology platform for a new car.In the autonomous driving industry, the most glamorous is the Robo-Taxi and trunk logistics, because they are considered to have a huge market potential and high R&D thresholds, while low-speed autopilots for closed or semi-enclosed parks are considered to be market size andTechnical difficulty is small.However, Heidi Wyle said that the target scene of Fengtu Intelligent Technology may include the last mile delivery, the scenic spot shuttle bus, the engineering construction vehicle, etc., in addition to the old-age community shuttle bus, sanitation vehicle, and park logistics vehicle.The overall market size is actually very large.At the same time, Heidi Wyle mentioned that Google’s subsidiary, Waymo, chose the most difficult Robo-Taxi, investing $1 billion a year in research and development over the past decade, and that Google believes they will need at least 5-7 years of research and development..In addition, the general autonomous driving department Cruise has spent nearly $1 billion on autonomous driving technology development, and Apple and Uber spend $600 million a year on Robo-Taxi.Rather than spending as much money on Robo-Taxi as these tech giants, it’s better to get the fastest commercialization scenario.Daniela Rus, co-founder of Wind Maps Smart Technology, believes that autonomous driving has many long tail problems, and these long tail problems require actual road test and accumulated data to be discovered and resolved.If government laws and regulations do not allow autonomous vehicles to drive on open roads and the infrastructure of open roads is imperfect, it will limit the accumulation of data, making long tail problems difficult to detect and resolve.The low- and medium-speed automatic driving has lower requirements on chip computing power, lower requirements on road infrastructure, little or no restrictions on government laws and regulations, only a small number of sensors, cost control, and safety.- These factors mean that autopilot landing speeds in mid- and low-speed scenes are faster, easier to accumulate drive test data, and faster iteration algorithms.Heidi Wyle was named one of the “female leaders of 50 high-tech startups” by Forbes this year.In his spare time, Heidi Wyle is a diving and mountaineer who has climbed the Canadian Rockies many times over the past 20 years and has worked with his family for many years to protect wildlife.In her view, autonomous driving technology is not only the third most important wave of technology after “computer technology” and “social media”, but also reduces urban congestion, reduces carbon emissions, and helps disadvantaged groups such as the disabled and the elderly improve their travel quality.And an important way of safety.————I am 36 氪 reporter Wang Yizhen, business communication can add WeChat catherineyijin, please note the company + title + name + to the meaning..