Research on map matching of lidar/vision sensor for automatic driving aided positioning

2021 ◽  
Vol 6 (2) ◽  
pp. 121
Author(s):  
Qing An ◽  
Xijiang Chen ◽  
Yuhua OuYang
Keyword(s):  
Map Matching ◽  
Vision Sensor ◽  
Automatic Driving

Map matching for circular road via contextual voting

2022 ◽  
pp. 1-11
Author(s):  
Xiaohan Wang ◽  
Zengyu He ◽  
Pei Wang ◽  
Xinmeng Zha ◽  
Zimin Gong
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Traffic Flow ◽  
Hidden Markov ◽  
Map Matching ◽  
Matching Method ◽  
Circular Section ◽  
Gps Positioning ◽  
Automatic Driving ◽  
Positioning Devices

Due to the limitation of positioning devices, there is a certain error between GPS positioning data and the real location on the map, and the positioning data needs to be processed to have better usability. For example, accurate location is needed for traffic flow control, automatic driving navigation, logistics tracking, etc. There are few studies specifically for circular road sections. In addition, many existing map matching methods based on Hidden Markov model (HMM) also have the problem that GPS points are easily to be matched to tangent or non-adjacent road sections at circular road sections. Therefore, the contextual voting map matching method for circular road sections (STDV-matching) is proposed. The method proposes multiple subsequent point direction analysis methods based on STD-matching to determine entry into the circular section, and adds candidate section frequency voting analysis to reduce matching errors. The effectiveness of the proposed method is verified at the circular section by comparing it with three existing HMM methods through experiments using two real map and trajectory datasets.

Auto Markets in the World and Strategy of Japan’s Companies

2019 ◽  
Vol 10 (10) ◽  
pp. 1003-1008
Author(s):  
Hiroyuki Matsuoka ◽  
Keyword(s):  
Saudi Arabia ◽  
Electric Vehicle ◽  
New Technologies ◽  
Auto Industry ◽  
Domestic Market ◽  
Automatic Driving ◽  
The World ◽  
Almost All ◽  
Made In

In the world auto market, top three companies are VW(Volkswagen), Runault-Nissan-Mistubishi, and Toyota. About some selected countries and areas, China, England, Italy, Australia, Germany, Turkey, Russia, Sweden, USA, Brazil, UAE, Japan, Vietnam and Thailand are more competitive. However, the situation is different. Seeing monopolistic market countries and areas, Saudi Arabia, Taiwan, Korea, Malaysia, France, India, and Pakistan, in particular, the influence of Japan to Taiwan, India, and Pakistan is very big. But in Korea and France, their own companies’ brands occupy the market. In Japan domestic market, the overall situation is competitive. Almost all vehicles made in Japan are Japanese brand. From now on, we have to note the development of electric vehicle (EV) and other new technologies such as automatic driving and connected car. That is because they will give a great impact on the auto industry and market of Japan. Now Japan’s auto industry is going to be consolidated into three groups, Honda, Toyota group, and Renault-Nissan-Mitsubishi group for seeking the scale merit of economy. Therefore, I will pay attention to the worldwide development of EV and other new technologies and the reorganization of auto companies groups.

Development of Non-contact Respiratory Monitoring System for Newborn Using a FG Vision Sensor

2010 ◽  
Vol 130 (9) ◽  
pp. 1581-1587 ◽  
Author(s):  
Yoshiyuki Kurami ◽  
Yushi Itoh ◽  
Michiya Natori ◽  
Kazuo Ohzeki ◽  
Yoshimitsu Aoki
Keyword(s):  
Monitoring System ◽  
Respiratory Monitoring ◽  
Vision Sensor

Control of Autonomous Mobile Robot Using Map Matching with Optimized Search Range

2013 ◽  
Vol 133 (5) ◽  
pp. 502-509 ◽  
Author(s):  
Kouhei Komiya ◽  
Shunsuke Miyashita ◽  
Yutaka Maruoka ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robot ◽  
Map Matching ◽  
Autonomous Mobile Robot ◽  
Search Range

Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman
Keyword(s):  
Target Tracking ◽  
Vision Sensor ◽  
Multi Target Tracking ◽  
Event Based

Algorithm on real-time map-matching of multi-weight probability

2013 ◽  
Vol 26 (2) ◽  
pp. 166-170
Author(s):  
Yang Li ◽  
Xiaodong Zhang ◽  
Yuanlv Bao
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Time Map
Sign in / Sign up

Export Citation Format

Share Document