Foreground IP for licensing: 1. Positioning & Navigation Core a. Map modeling and management i. implement at least 2 map models out of general topological, geometric, hybrid topological, semantic, etc. b. Marker-based positioning i. handle at least 2 types of markers, such as QR-code, barcode, frame marker, etc. ii. simultaneous, multiple barcode recognition based on captured video c. Marker-based navigation 2. Setup of centralized computing platform for deep learning 3. Route planning based on Reinforcement deep learning a. Single device route learning strategies b. Multiple device route learning strategies c. Adaptive routing implementation empowered by deep reinforcement learning Please refer to the document "Technical_Supplement.pdf" for specifications of the deliverables.
新宝亚洲电脑服务有限公司
安吉智能物联技术有限公司
现今时代，自动驾驶这领域百花齐放，不断需要创新理念，分析家更加估计自动导向车的全球市场在2022年將会涨至近27亿美元。在一个有几百上千辆车子的环境，怎样替所有车子安排最佳路线，最有效的调动，扩展性，躲避障碍物等等，都是这领域新的挑战。 应科院会硏发一个智能平台项目支援自动导向车的多车调动和运作，另外会利用深度学习作动態的路线优化，大规模的调动和工作安排，根据视觉来躲避障碍物等等。硏发的技术会首先在两个伙伴的领域应用，包括在物流中心的自动导向车，和一个编写自动驾驶车程式的训练平台。
