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Dhaka Thursday,  Mar 28, 2024

Kazakh Students Will Open $50 bln Worth Market for Kamaz and VIST

EB DESK

Kazakh students will open a $50 bln worth market for Kamaz and VIST Open Corporate Challenge kicks off at Nazarbayev University in Kazakhstan. The Challenge is set to invite talented students to invent facilitating systems for autonomous Kamaz Neo. Market share for the solution developed during the challenge is expected to be valued at USD 10 Billion by 2020. On March 27, Open Corporate Challenge (OCC) Kamaz started in Kazakhstan. The Challenge is organised together with Astana Business Campus (ABC), VIST (subsidiary of ZYFRA Group), Kamaz and IEEE. Winners of the Challenge will get access to АВС Labs and VIST robotics lab to develop autonomous truck system on Kamaz Neo chassis. They will also be granted with funding from FabLab NU.

“Nowadays projects like this one are being developed by major manufacturers like MAN and Volvo as well as by large logistics companies. According to various estimates, the volume of commercial unmanned vehicles will amount up to $50 billion by 2022. The number of vehicles sold will reach 500 thousand units during the same period. For VIST, this is a very attractive market, and given our expertise in the robotization of dump trucks for the mining industry, further development of this project may also find application in industrial sector, where the demand for autonomous vehicles is estimated at 10 billion in 2020,’’ – said Alexey Vladimirov, Strategy Director of VIST. The Challenge gives young talents a chance to present their projects to industry experts, to improve under the experts supervision, develop prototypes at Astana Business Campus and, subsequently, win cash prizes or a subscription to FabLab NU. Expert commission will choose three winners, two more teams will have the opportunity to work on the robotization project for VIST and KAMAZ NEO, who will also judge the competition. By the results of the project a fully automated car will be created. The car should move independently, using computer vision to recognize objects, people, animals, road barriers and be able to calculate the route subject in order to drive around obstacles. The Challenge Fund Prize accounts for 500 000 tenge ($1400). During the competition, participants will have to solve three problems: 1. To develop a model of the device for the protection and cleaning of LIDAR – vehicle sensor. 2. To develop and design a prototype of the information output and subsystem control panel (dashboard & control panel). 3. To develop and design interface algorithm for editing static trajectories. The best projects will be selected according to five key criteria: presentation, competences / CV, team, cost of the solution and innovativeness of the solution.

 

 

 

 

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