This paper describes computer vision techniques for early-season measurement of vine canopy parameters; leaf count, leaf area and shoot count.
本文档是卡耐基梅隆大学机器人研究所的技术论文。
Recognizing Visual Signatures of Spontaneous Head Gestures
We propose a novel Multi-Scale Deep Convolution-LSTM architecture, capable of recognizing short and long term motion patterns found in head gestures, from video data of natural and unconstrained conversations.
本文档是卡耐基梅隆大学机器人研究所的技术论文。
Reducing Adaptation Latency for Multi-Concept Visual Perception in Outdoor Environments
Multi-concept visual classification is emerging as a common environment perception technique, with applications in autonomous mobile robot navigation.
Real-time Image Processing on Low Cost Embedded Computers
Sunil Shah
Electrical Engineering and Computer Sciences
Daimler (Mercedes-Benz) has a long history on research and development on ADAS systems and autonomous driving. Today’s increasing complex requirements on sensors, algorithms and fusion put high demands on the underlying software framework. In this talk, the group Pattern Recognition and Cameras of Daimler Research and Development showcase their latest research vehicle. Additionally, a detailed look on an implemented multi-sensor synchronization system is given. Findings and lessons learned as well as tool modifications and added functionality will be discussed as well. The audience will get insights on data handling in the context of high data throughput.
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