A statement from Alibaba said that the Ali iDST vision technology team led by Ren Xiaofeng proposed an online learning method based on online difficult sample mining, and added online data enhancement modules, global features and local feature fusion mechanisms to enhance network characteristics. The characterization ability and promotion ability to solve the problem of inaccurate segmentation and shadow interference in the road edge and road surrounding the road segmentation problem. A few days ago, the reporter found that Alibaba first appeared on the KITTI road scene segmentation list of the world's largest autopilot computer vision algorithm set. The list shows that Ali artificial intelligence team iDST won the first three division tasks, including UU_ROAD (country lane) and UMM_ROAD (multi-lane) two specific scene tasks, and the overall evaluation task URBAN_ROAD (city lane). Alibaba confirmed the news, but denied that Ali will enter the autonomous driving business. Ali said that the company attaches importance to basic scientific research, and autopilot technology is part of it. The research is being led by Alibaba's machine vision scientist Ren Xiaofeng. It is understood that the KITTI dataset is a mandatory commissioning platform for the development of autonomous driving technology. Companies such as Tucson, Yushi, Samsung, and NEC have appeared on the rankings. According to the data, the KITTI dataset was jointly established by the Karlsruhe Institute of Technology and the Toyota Institute of Technology in Germany. It is the internationally recognized data set for the largest autopilot computer algorithm. The KITTI dataset covers five major scenarios: urban, residential, road, campus, pedestrian, etc., using a BEV (Bird's Eye View) view that is more suitable for autonomous driving. Most autopilot research institutions can do large chunks of urban roads. Segmentation, but for edge roads, such as stones, vehicles parked along the road, etc., there is still a great difficulty in identification. How to divide the road edge into more fine is the main direction of the current road scene segmentation. A statement from Alibaba said that the Ali iDST vision technology team led by Ren Xiaofeng proposed an online learning method based on online difficult sample mining, and added online data enhancement modules, global features and local feature fusion mechanisms to enhance network characteristics. The characterization ability and promotion ability to solve the problem of inaccurate segmentation and shadow interference in the road edge and road surrounding the road segmentation problem. After half a year of research, Ali obtained the first task evaluation tasks of UU_ROAD (country lane) and UMM_ROAD (multi-lane) with 96.06% and 97.70% segmentation accuracy respectively, and the accuracy of 96.76% was comprehensively evaluated by the entire road scene segmentation. The task URBAN_ROAD is the first. This is also the first time Alibaba has appeared on the KITTI road scene segmentation list. In June 2017, there was news that Ren Xiaofeng, the top Chinese scientist in Amazon, joined the Ali iDST team. Ren Xiaofeng once led the Amazon Amazon Go unmanned store algorithm. When he joined Ali, he was praised as an expert in the field of imagery: "In the field of computer vision, image classification, object recognition, tracking, detection, and event detection are all available. Comprehensive and in-depth understanding." The reporter also found that Alibaba's iDST was also seen in several other projects in the KITTI dataset, including vehicle detection, pedestrian detection and pedestrian re-identification. According to reports, this part of the technology has been landed in the scene of the brain of Aliyun ET City, currently used mainly for urban traffic management. Alibaba's research capabilities are on the rise and emphasize research investments in basic science. At the 2017 Yunqi Conference in Hangzhou, Ali announced the establishment of the “Dharma Instituteâ€, a laboratory for exploring the future of human technology. It plans to invest more than 100 billion RMB in new technologies within three years to cover basic science and disruptive technological innovation. the study. Ma Yun, chairman of Alibaba's board of directors, hopes to leave "Dharma" as one of the best things in the world for Alibaba. The price method includes many difficult unmarked roads. From the KITTI official website, this evaluation data set is mainly divided into large categories such as scene segmentation, target detection, and target tracking. One researcher said that road segmentation is crucial in the field of autonomous driving. It is mainly used for driving area division in autonomous driving, automatic driving path planning, high-precision map construction, and AR (augmented reality) navigation for assisted driving. USB cable assemblies are a cost-effective way to connect electronic devices. When first introduced, USB cable assemblies connected peripheral devices such as printers, scanners, cameras, and storage devices to computers. Now USB cable assemblies are everywhere and used for everything from programming systems in automobiles, connecting medical equipment, and charging cell phones for everyday use.
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