IEEE Journal of Quantum Electronics

ResoluteAI integrates IEEE Metadata into its Foundation Scientific Research Platform

Retrieved on: 
Wednesday, September 28, 2022

ResoluteAI, the research platform for science, announced today the addition of metadata from IEEE peer reviewed content to its Foundation service .

Key Points: 
  • ResoluteAI, the research platform for science, announced today the addition of metadata from IEEE peer reviewed content to its Foundation service .
  • This represents approximately 30% of the worlds literature in the electrical and electronics engineering and computer science fields, making IEEE an invaluable resource for scientific research across multiple industries.
  • We believe access to this information for our Foundation customers will be of tremendous value, said Steve Goldstein, CEO of ResoluteAI.
  • IEEE peer-reviewed journals and conference proceedings are now discoverable within the ResoluteAI platform , enabling IEEE subscribers to link through to access the full-text at the IEEE Xplore digital library.

University of Electro-Communications e-Bulletin: Radar-based human recognition for self-driving cars

Retrieved on: 
Wednesday, September 29, 2021

The Research Highlights are Radar-based human recognition for self-driving cars,' Shouhei Kidera; and 'Getting the most out of quantum systems,' Jun Suzuki.

Key Points: 
  • The Research Highlights are Radar-based human recognition for self-driving cars,' Shouhei Kidera; and 'Getting the most out of quantum systems,' Jun Suzuki.
  • Self-driving car technology requires detectors capable of sensing a car's environment, also in situations of limited visibility like bad weather conditions.
  • Now, Shouhei Kidera from the University of Electro-Communications and colleagues have developed a radar-based detection method for recognizing humans in NLOS situations.
  • Even if a human stands still, breathing and small movements related to posture control cause changes in the reflected wave signals.

University of Electro-Communications e-Bulletin: Radar-based human recognition for self-driving cars

Retrieved on: 
Wednesday, September 29, 2021

The Research Highlights are Radar-based human recognition for self-driving cars,' Shouhei Kidera; and 'Getting the most out of quantum systems,' Jun Suzuki.

Key Points: 
  • The Research Highlights are Radar-based human recognition for self-driving cars,' Shouhei Kidera; and 'Getting the most out of quantum systems,' Jun Suzuki.
  • Self-driving car technology requires detectors capable of sensing a car's environment, also in situations of limited visibility like bad weather conditions.
  • Now, Shouhei Kidera from the University of Electro-Communications and colleagues have developed a radar-based detection method for recognizing humans in NLOS situations.
  • Even if a human stands still, breathing and small movements related to posture control cause changes in the reflected wave signals.