Development of an Onboard Unit using Both an Edge AI Device and Location Information for Safe Driving Education at Stop-Controlled Intersections in ASSIST

Manato Ando･Kazuaki Goshi･Masaki Hayashi･Yasuaki Sumida (Kyushu Sangyo University)･Katsuya Matsunaga (Kyushu University)

Most drivers just slow down without completely stopping at Stop-controlled Intersections. To avoid collision, a driver should stop firmly and watch for a safe opportunity to continue driving. We have developed an Assistant System for Safe Driving by Informative Supervision and Training (ASSIST).
Until now, in order to detect stop-controlled intersections, we have developed the two systems separately. One system uses edge AI devices, and the other system uses location information. In this study, we developed a system that improve the detection rate of stop-controlled intersections by using both edge AI devices and location information.

Verification of Driving Characteristics of Patients with Brain Diseases using a Driving Simulator

Masashi Ikota･Yoshiyuki Onuki･Tomoaki Ban･Sasai Yoshimitu･Maiko Kikuchi･Miho Inoue･Gen Kusaka (Jichi Medical University)･Jin Kusaka (Waseda University)･Kensuke Kawai (Jichi Medical University)

The driving ability of a group of patients with brain disease (50 patients in total) was measured using a driving simulator with a group of healthy subjects (65 patients in total), and their higher brain functions were also evaluated. The patient group showed a significant decrease in the Cognitive function test. The simulator measurements of the patient group showed significant reductions in specific items, and the characteristics of the cerebellar and frontal lobe lesions, which were the disease sites, were also verified.

A Study on the Plan to Create a New Concept Space Based on the Purpose of Use of Electric Vehicles and Optimal Application to Vehicles

Jungho Lim･Hyunsu Shin (Hyundai Motor)

Currently, consumers are less inclined to buy a car. This is due to the development of other transportation methods and the inefficiency of the time that vehicles are parked in parking lots.
In order to satisfy the changed requirements of consumers, this paper investigated a method that can provide optimized space according to the purpose of individual use when the vehicle is stationary. In order to go beyond the conceptual idea, a new total layout was realized for a vehicle with a length of 5,000 mm or less.

Impact Assessment of Wet Snow Accretion on Millimeter Wave Radar Range Detectability

Kengo Sato (National Research Institute for Earth Science and Disaster Resilience)･Kentaro Kanaya･Takaaki Shibasaki･Kenichiro Imai･Ichiro Nakane･Hideo Inoue･Shigeo Kimura (Kanagawa Institute of Technology)

Currently, distance detection systems using millimeter-wave radar are widely used to assist safe driving of automobiles.However it is known that the detection capability of millimeter-wave radar is severely hampered by snow accretion on the radar radome during cold weather. in this study, we experimentally investigated the effect of snow accretion on radar at 79 GHz wavelengths changing the thickness and the liquid water content of snow with using artificially formed snow flakes. The results quantitatively show the relationship between the thickness and the liquid water content of snow and the attenuation of the radar received signal strength.

A Generation Method of mmWave Radar Scattering Points on a Vehicle by Ray Tracing Simulator

Yusuke Isono･Masakazu Ikeda (SOKEN)･Hideo Inoue (Kanagawa Institute of technology)

We are aiming to develop a simulator that can replace actual driving tests for automatic driving.
When using a 3D model of a vehicle for a common camera, there is a difference in the location of scattering points between the actual measurement and the simulation of a vehicle using millimeter-wave radar.
In this paper, we clarify the locations of vehicle scattering points by using high-resolution imaging radar.
By reflecting the measurement results in the simulation model, it is possible to reproduce the vehicle scattering points in the simulation.