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HD MAP
for autonomous driving


Self-localization of AV


Automatic generation, post calibration, and evaluation of the HD map

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Customer Context
For marketing analysis


using only smartphone sensors


Obtaining customers behaviour and smart phone holding mode

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lidar-based
Self-localization


For Autonomous Driving


Accurate Self-Localization using HD map and lidar

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CUSTOMER
INTEREST LEVEL Analysis


For marketing


Analysing customer interest level from camera inside the shop

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Smart
driver recorder


record dangerous scene


Smartphone-based Intelligent Driving Data Recorder (DDR)

Scence Risk
assessment


High, Medium, Low risk level


End-to-End Driving Scene Risk Assessment Using Onboard Camera

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3D City Model
aided GNSS Positioning


accurate positioning in urban area


Positioning based on 3D City Building Model aided GNSS

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01

Consumer electronic

Application Of Portable And Wearable Smart Device For Marketing

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Customer Behaviour Analysis

Analyzing customer context including behaviour and location in the real shop is important as they can be highly utilized for marketing strategies. In this work, a customer context analysis system that combines context-based map matching and activity recognition using smartphone built-in sensors is proposed.

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Lifelog using smartphone

We use our pedestrian self-localization approach and image matching technique on "Eyeglass-type wearable device" to realize more accurate pedestrian self-localization. In addition, we use AR technology and aim to provide new navigation experience..

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Navigation using wearable glass

We use our pedestrian self-localization approach and image matching technique on "Eyeglass-type wearable device" to realize more accurate pedestrian self-localization. In addition, we use AR technology and aim to provide new navigation experience.

02

Self-Driving Car

HD Maps, Self-localization, and Perception for Autonomous Driving

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HD map generation

In this modern social, people get used to a lot of smart devices, including smart phone and wearable devices. Here, we try to apply advanced information processing technology in those devices, to make people' life more convenience.

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Evaluation of HD map

In this modern social, people get used to a lot of smart devices, including smart phone and wearable devices. Here, we try to apply advanced information processing technology in those devices, to make people' life more convenience.

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Scene understanding

Using 3D building map and ray-tracing simulation, our method correct multipath and non-line-of-sight (NLOS) propagation which are main error factors in urban canyons. In addition, we realize more accurate positioning using Multi-GNSS and L1-SAIF signal information.

Kamijo Lab

About
KAMIJO Laboratory

Our laboratory is at Institute of Industrial Science in Komaba Research Campus. It belongs to Department of Information and Communication Engineering, Graduate School of Information Science and Technology, and Emerging Design and Informatics Course, Graduate School of Interdisciplinary Information Studies. We consist of 8 master course students, 3 doctoral course students and 1 postdoctoral researchers including a lot of foreign members, especially Chinese. We have open campus event once per year. You can also visit our laboratory anytime. Please contact us.

03

For Marketing

Customer Behaviour and interest understanding for marketing

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Customer Behaviour Analysis

Recently, there has been an increased demand for understanding the behaviour and position of people within large-scale indoor facilities. In this research, we propose an low-cost system to determine a person's activity and indoor positioning using only smartphone sensors (accelerometer and gyroscope).

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Customer Interest level Analysis

Conventionally, retailers hire human labors or consulting companies to watch the surveillance video and extract useful marketing information. The video analyzers can assess how interested in the merchandise the customers are by observing their behaviours.

04

positioning and mapping

Generation and application of
3d building map

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3D Building map reconstruction

We are developing methods to extract building boundaries from huge point cloud data by MMS and generate 3D map consisting of necessary and sufficient information.

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3D Building map correction

We propose a method for correcting building footprints in 3D maps utilizing our 3D-GNSS measurement system.

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3D map aided GNSS

Using 3D building map and ray-tracing simulation, our method correct multipath and non-line-of-sight (NLOS) propagation which are main error factors in urban canyons. In addition, we realize more accurate positioning using Multi-GNSS and L1-SAIF signal information.

More Details about researches
in KAMIJO LABORATORY

For the details and other research topics, please check Research page

05

Many students and researchers from all around the world

International Research Environment

Kamijo Lab members

In Kamijo laboratory, many students from foreign countries are researching together. We have studetns and researcher from China, Iran, Sri Lanka, Finland, Turkey, Thailand. Also in the past, students and researchers form U.K, France, Germany, U.S, and Taiwan were researching in our laboratory.