Ola mentioned on Tuesday that it has acquired GeoSpoc, a supplier to a geospatial company, and this transfer may help the ride-hailing platform develop applied science and make mobility in shared and personal cars accessible and convenient.
Ola Chairman and Group CEO Bhavish Aggarwal mentioned in a tweet: “New mobility requires higher and updated maps and geospatial companies. In a blog post, he mentioned that companies that enhance geospatial can even go a long way in strengthening urban planning and highway networks, higher public transportation, and prevention of congestion points.
“Dhruva and his team of geospatial scientists and engineers will work with Ola to develop technologies that will make mobility between shared and personal vehicles universally accessible, sustainable, personalized, and convenient,” he added. Although these companies did not disclose the types of employees, GeoSpoc estimates that there are more than 80 employees.
Aggarwal defined that as sharing and personal mobility more deeply cover 50-100% of Indian residents in the next few years, the map will need to be enhanced in a variety of ways. “Multimodal transport options require geospatial intelligence to understand the unique advantages of each option and provide corresponding recommendations.
As aerial mobile models such as drones become more mainstream, maps will need to consider a three-dimensional view of the world,” he said. (I also learned | “Dumb mechanical device” can wait, Ola Electric CEO has a plan to fly a car) Aggarwal admits that residents of more than 100 million major customers need accurate and rich maps with too many backgrounds.
He added that the near real-time satellite TV for PC imagery needs to be integrated into the map to better understand the high quality of highways. In addition, it needs to be enhanced similar to avoiding poorly lit streets at night to ensure safety-even if this It is a faster route.
In addition, autonomous driving requires high-definition and 3D maps, which can provide excellent visualization, mainly based on dynamic real-time updates of highways, site visitors, and climate conditions. “In addition to our large communities with unprecedented geospatial details provided by 2, 3, and 4W, we also have the information and experience to build on our deep understanding of customer behavior.
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