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Acoustic SLAM based on the Direction-of-Arrival and the Direct-to-Reverberant Energy Ratio

Qiu, Wenhao, Wang, Gang, Zhang, Wenjing

arXiv.org Artificial Intelligence

This paper proposes a new method that fuses acoustic measurements in the reverberation field and low-accuracy inertial measurement unit (IMU) motion reports for simultaneous localization and mapping (SLAM). Different from existing studies that only use acoustic data for direction-of-arrival (DoA) estimates, the source's distance from sensors is calculated with the direct-to-reverberant energy ratio (DRR) and applied as a new constraint to eliminate the nonlinear noise from motion reports. A particle filter is applied to estimate the critical distance, which is key for associating the source's distance with the DRR. A keyframe method is used to eliminate the deviation of the source position estimation toward the robot. The proposed DoA-DRR acoustic SLAM (D-D SLAM) is designed for three-dimensional motion and is suitable for most robots. The method is the first acoustic SLAM algorithm that has been validated on a real-world indoor scene dataset that contains only acoustic data and IMU measurements. Compared with previous methods, D-D SLAM has acceptable performance in locating the robot and building a source map from a real-world indoor dataset. The average location accuracy is 0.48 m, while the source position error converges to less than 0.25 m within 2.8 s. These results prove the effectiveness of D-D SLAM in real-world indoor scenes, which may be especially useful in search and rescue missions after disasters where the environment is foggy, i.e., unsuitable for light or laser irradiation.


Uber Eats treats drivers as 'numbers not humans', says dismissed UK courier

The Guardian

A delivery driver who is suing Uber Eats in London over his dismissal from the company and claims its facial recognition technology is racially biased says the company treats couriers as "numbers rather than humans". Pa Edrissa Manjang worked for Uber Eats between November 2019 and April 2021 while employed full-time as a financial assistant. When Manjang first began working for the company he was not regularly asked to send in pictures of himself for verification purposes. However, these facial verification checks became more frequent. Manjang was eventually dismissed from the company by email, when it claimed there were "continued mismatches" between the pictures he took to register for a shift and the one on his Uber work profile.


What's behind the rise of 'black gold'?

Al Jazeera

The price of oil has hit $70 a barrel for the first time since 2014. Brent crude, the international benchmark for oil prices, jumped after the Organisation of Petroleum Exporting Countries (OPEC) said it would continue to limit supplies.


Flawed plan

BBC News

In 1960s and 70s Britain, immigrant ethnic minority children were dispersed across schools in the hope that it would help them integrate. The process saw children - largely of south Asian and African or Caribbean descent - being "bussed" out of their local areas to go to school. Eleven Local Area Authorities (LEAs) decided there should be no more than 30% of immigrants at any one school. It meant once that quota was reached, children were taken elsewhere. The process, which became known as "bussing", is now at the heart of a project in Bradford where Shabina Aslam is trying to trace children who, like herself, were sent to school away from where they lived.