- South Africans in the Wutan province have called on their government to get them out of the city
- According to one of them, Pieter Viljoen, attempts to get the South African Embassy in China to help them proved futile
- The Embassy has meanwhile declined to comment on the matter and directed all inquiries to another body
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South Africans in the Wutan province in China have called on their government to activate evacuation plans in the wake of the spread of the coronavirus.
According to them, their government has delayed plans to get them out of the city.
YEN.com.gh understands that about 60 million people are under partial or full lockdowns in cities in China in the wake of the spread of the virus across Asia.
Per a report by cnn.com, at least 170 people are dead and over 7,700 cases have been confirmed since the beginning of the outbreak in mainland China in December 2019.
At the moment, several countries such as the United States of America (USA) and Japan have flown hundreds of their people from the affected area.
Pieter Viljoen, a South African, has revealed that his country’s authorities are yet to provide information about repatriation plans or support for them.
Attempts to get the South African embassy in Beijing to assist has also proven to be futile.
The embassy has meanwhile declined to comment on his allegations and has directed all requests for information to the Department of International Relations and Cooperation (DIRCO).
In other news, poor visibility as a result of falling snow has been identified as one of the main factors of obstructed vision during winter in some countries.
It has been established that snow covers cameras that aid cars with regard to self-awareness.
It also deceives sensors into seeing obstacles that are not present and hides road signs and other structures that often serve as navigational landmarks.
In a bid to facilitate the movement of vehicles during winter, a startup known as Scale AI has open-sourced a data set known as Canadian Adverse Driving Conditions (CADC).
The data set contains over 56,000 images in conditioning including snow created by the University of Waterloo and the University of Toronto, venturebeat.com reports.
Scale AI has announced that the CADC is the first to focus specifically on “real-world” driving in snowy weather.
The company added that the road networks captured in the CADC were selected based on levels of traffic as well as other factors.
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