先進駕駛輔助系統 (ADAS) 及高清晰度 (HD) 製圖的歐洲、北美市場:2018年
European and North American Advanced Driver Assistance Systems (ADAS) and High Definition (HD) Mapping Market, 2018
|出版商||Frost & Sullivan||商品編碼||824918|
|出版日期||內容資訊||英文 74 Pages
|先進駕駛輔助系統 (ADAS) 及高清晰度 (HD) 製圖的歐洲、北美市場:2018年 European and North American Advanced Driver Assistance Systems (ADAS) and High Definition (HD) Mapping Market, 2018|
|出版日期: 2019年04月09日||內容資訊: 英文 74 Pages||
本報告提供歐洲及北美先進駕駛車支援系統 (ADAS) 及高清晰度 (HD) 製圖市場相關調查，製圖市場概要，各種地圖的差異與其支援的自動駕駛等級，有助於自動駕駛車的安全駕駛的ADAS/HD地圖的零組件和特性，主要的製圖參與企業等相關分析。
Start-ups, With Their Innovative Business Model Will End the Dominance of Traditional Map Developers
In today's world, while robots have the capability to do some things more efficiently than humans, humans are still much wiser when it comes to real-time decision-making capability. One such application that comes to light is driving and navigation. For example, decisions, such as stopping the vehicle at the right place, watching for a traffic signal at the intersection, or avoiding a split at the last minute, which humans take for granted, are still much harder for robots to make.
In the near future, when cars start driving themselves, they will have to ‘see' what is around them to maneuver leaving no room for errors. To achieve this, vehicles will not only rely on sensors but will also require machine-readable maps of the world, containing accurate and precise road information. Autonomous vehicles will use sensors to make driving decisions on the fly, but vehicle sensors cannot observe everything all the time. Vehicle sensors can be blinded by corners, other vehicles, or bad weather conditions. Even though the sensors may notice an obstacle, they may not do so early enough to make decisions. In addition, lanes and signs may be missing on the road or knocked over or hidden by bushes, and therefore, can go undetected by sensors. Such accidents will be averted when sensor data will be combined with map data.
This research service provides an overview of the mapping market along with the differentiation between the types of maps and levels of autonomy that they will support. In addition to the overview, the study covers the components and attributes of ADAS and HD maps, which will help an autonomous vehicle to operate safely.
In conjunction with different processes of mapping, major HD map developers have been segmented on the basis of the mapping process they follow and compared on the basis of various assessment criteria, such as localization accuracy, the technology used for developing HD maps and needed by customers, current partnerships, and cost of acquiring the solution for a customer.