Our team plans to develop a plugin of UC-win/road that supports a driver's
cognitive behavior. Our plugin produces suitable synthetic speech by using
the driver's gaze tracking information. For example, if a driver does not
look both ways, the plugin alerts him by using synthetic speech "Look
around". Moreover, the synthetic speech can express some emotion patterns
such as anger, joy, sadness, and so on. The selection of emotions depends
on driver's situation, e.g., emergency avoidance. We think our plugin can
decrease the number of traffic accidents.
Environmental Design and IT Award
（評審委員長、大阪大學研究所 工學研究科 副教授）
作品名稱： Urban trunk road and functional area planning based on big data analysis
This design consists of two modules. The first module analyzes the check
in data of a social media application at a certain city in the fixed period
of time. According to spatiotemporal analysis of data, we show description
of urban functional areas. In the second module, the school, residential
community, shopping and other functional areas are showing by model simulation.
We can plan the functional areas and the urban trunk roads to make the
overall layout of the city more reasonable and convenient. Through the
above design, urban planning can refer to it to make urban design more
convenient and persuasive.
In order to improve the traffic efficiency of emergency vehicles, with
the help of the technology of autopilot and Internet of Things function,
EVP can send avoidance command messages to other civilian cars front in
real time, and help other drivers make ways in time. Or even make other
vehicles automatically direct the lane-changing tasks if their drivers
fail to respond quickly. Thereby realizing the main goal of the plugin
- let the emergency vehicle pass through as soon as possible.
Creative Solution Award
Because of the "tidal phenomenon" of traffic, the traffic flow
in the direction of entering the city is large and the reverse flow is
small every morning, while the traffic flow in the direction of leaving
the city is large at night, which aggravates the congestion phenomenon.
In view of this situation, traffic organization is carried out in the way
of variable lane in the transformation of traffic diversion, that is, increasing
the number of lanes in the direction of entering the city, reducing the
number of lanes in the direction of leaving the city, increasing the number
of lanes in the direction of leaving the city in the late peak, and reducing
the number of lanes in the direction of entering the city in the way of
increasing the number of lanes in the direction of leaving the city in
the late peak.
Future transport design Award Yoann Pencreach
作品名稱： Implementation of digital twin for vehicle and its surroundings
We constructed the digital twin which is a digital replica of a living
We got information about the surroundings of the vehicle by fusing panoramic
camera and Lidar sensor.To detect other cars and things, we used YOLO with
synchronized Images from fused sensors as training data.Additionally, we
can apprehend driver's intention through his/her eyes.In the digital world
with that information, we get our vehicle's status from CAN bus network
and we can monitor the real world.
作品名稱： Augmented Recreation ～Interest of Travelling～
When a self-driving vehicle is driving under urban conditions, cyclists
may appear around the vehicle. The trajectory of cyclists is different
from that of vehicles traveling on the road, which is more difficult to
predict. The main purpose of this work is to develop an automatic driving
strategy considering the lateral interference under urban conditions, and
modify the original automatic driving algorithm of the driving vehicle
so that the automated vehicle can drive anthropomorphically under the lateral
interference of cyclists.
作品名稱： Development and Testing of Enhanced ADAS Based on CVIS
The objective of this work is to develop a simulation system under UC-win/Road
environment, to implement an enhanced safety pre-warning algorithm based
on CVIS (Cooperative Vehicle Infrastructure System), and to demonstrate
the algorithm by simulator operational test.
Firstly, UC-win/Road and cockpit are used to build the basic driving simulator,
and to construct conflicting intersection scenarios. Secondly, the UC-win/Road
SDK is used to acquire the real-time information of host vehicle (HV) in
the intersection scenarios, as well as the target (vehicle or pedestrian)
information in the intersection. Next, the intersection collision risk
is identified according to the real-time interactive data ; Finally, the
hardware of on-board HMI (Human-Machine Interface) are developed for pre-warning
information prompt. The above functions are demonstrated on UC-win/Road
and driving simulation tests.