Makoto Yasugi

Advanced wide field of view millimeter-wave radar using orthogonal complementary codes

This paper reports a radar system design using 79GHz millimeter-wave for vehicular and pedestrian safety around intersections. The proposed system design and associated key algorithms are embedded into a prototype and verified in an anechoic chamber and a field experiment. The system covers the distance of 40m and the azimuth angle of 120° range with high range and angular resolution (20cm, 5-degree), and can detect pedestrians within short budget of 100ms by using orthogonal complementary codes which are transmitted by Tx dual beamscanning to suppress the interference between the two divided area. The results therefore prove the system feasibility for future automotive safety application.

Stagged multi-scale LBP for pedestrian detection

Pedestrian detection remains a popular and challenging problem due to large variation in appearance. A robust feature extraction method is highly desired for accurate pedestrian detection. In this paper, firstly, we propose a staggered multiscale LBP histogram. In order to exploit grayscale difference information in more directions, three scales with radius of 1, 3, and 5 pixels are utilized, and different scales are staggered. The Staggered Multi-scale LBP histogram is composed of three 256-bin histograms, each of which corresponds to one of the three scales. Secondly, dimensionality of the LBP histogram is reduced using a boosting learning method. Experimental results show that the proposed feature outperforms benchmarks such as Uniform-LBP, HOG and CoHOG on INRIA, Daimler Chrysler and our Panasonic night time datasets.

79GHz-band radar cross section measurement for pedestrian detection

This paper presents radar cross section (RCS) measurement for pedestrian detection in 79GHz-band radar system. For a human standing at 6.2 meters, the RCS distributions median value is -11.1 dBsm and the 90 % of RCS fluctuation is between -20.7 dBsm and -4.8 dBsm. Other measurement results (human body poses beside front) are shown. And we calculated the coefficient values of the Weibull distribution fitting to the human body RCS distribution.

Creating mobile animation messages without authoring

Mobile phone e-mail messaging is increasingly being chosen by consumers as their primary communication tool. Messages exchanged among mobile phone users frequently contain “emojis (pictograms)”. Some consumers have started to use services which add a relevant animated image to a message. Consumers will start to exchange animated messages if they are able. This paper proposes a method of generating animations from text messages without an authoring process. This method utilizes information available in the consumer’s ubiquitous computing environment to supply the information needed to make animations which are not included in the original e-mail message.