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Towards More Accurate 3D Object Detection for Robots and Self-Driving Cars

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to accurately detect small objects. Now, researchers from Japan have developed DPPFAโˆ’Net, an innovative network that overcomes challenges related to occlusion and noise introduced by…
Hiroyuki Tomiyama Pixel Feature Alignment Network Ritsumeikan University Ritsumeikan University Research Towards More Accurate Object Detection

Your car might be watching you to keep you safe − at the expense of your privacy

EconoTimes is a fast growing non-partisan source of news and intelligence on global economy and financial markets, providing timely, relevant, and critical insights for market professionals and those who want to make informed investment decisions.
Mervin Moore Google Gboard Ed Markey Mozilla Foundation Interdependent Networks Florida International University Sustainability

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New Spectrum Sensing Technique for 6G-Focused IoT Communications

Non-Orthogonal Multiple Access (NOMA) and spectrum sensing are viewed as two of the most important prospective technologies to increase spectrum utilization in the next generation of wireless communications technology, given the Internet of Thingsโ€™ (IoT) tremendous surge in spectrum demand.
Laura Thomson Technical Research Centre University Of Windsor Shanghai Advanced Research Institute Chinese Academy Of Sciences Orthogonal Multiple Access

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