202 1 Chongqing i-VISTA Self-driving Car Challenge Activity Time: 2021August 19 to 2021August 22.
Competition schedule
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1: Competition Launching Ceremony /ADAS Challenge-Individual Group/Enterprise Group
Competition time: Thursday, 2021/819.
Venue: Chongqing Liangjiang New Area Collaborative Innovation Zone
The second day: the strongest car brain challenge/
Virtual simulation challenge
Activity time: Friday 202 1/8/20.
Venue: Chongqing Liangjiang New Area Collaborative Innovation Zone
Day 3: challenges of commercialization process/
Low-speed unmanned challenge
Competition time: Saturday 202 1/8/2 1
Venue: Liubusline, Liangjiang New District, Chongqing
Day 4: Awards Ceremony
Competition time: 202 1/8/22
Sunday
Venue: Chongqing Liangjiang New Area Collaborative Innovation Zone
As one of the brand activities of Zhibo Fair, 20265438+I-Vista Autopilot Challenge (i-VISTAGrand
Challenge) will be held in 3D Chongqing and Huoshan City from August 19 to August 22, 2026. This challenge will make full use of Chongqing's unique geographical and climatic conditions for orientation.
The global self-driving automobile city and virtual simulation top-level events will invite industry big coffee, more than 30 professional brand teams and well-known media to come to the stadium, and rely on the high-end communication platform of the industry to conduct technical practice evaluation.
Rulers promote the technological progress and commercialization of self-driving cars.
202 1 i-VISTA Autopilot Challenge was selected by the strongest car brain challenge and ADAS assisted driving system.
It consists of four competitions: AEB/APS, Autopilot Commercialization Process Challenge and Virtual Simulation Algorithm Challenge. Among them, the Virtual Simulation Algorithm Challenge is a brand-new competition. Mainly for vehicles equipped with automatic driving system.
Conduct competitions and evaluations to provide a stage for the industry and promote the technological progress of self-driving cars. Test and evaluate the ability of environment identification, decision analysis and control execution of self-driving cars in actual scenes to eliminate
Consumers' cognition of self-driving cars provides important information and paves the way for the commercialization of self-driving cars.
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