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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Odometry sensor is used in the estimation of position change over time using data from motion sensors. Some wheeled or legged robots in robotics use it to estimate their position in relation to a starting point. Because position estimates are produced by integrating velocity measurements over time, this approach is susceptible to errors.
Most of the time, odometry sensor can only be used effectively if data are collected, instruments are calibrated, and processing is done quickly and accurately. Odometry sensor is the measurement of a robot's position change relative to a specific location using motion sensors.
For instance, if a robot is moving in a straight line and is aware of the diameter of its wheels, it can count the number of wheel rotations to see how far it has come. Shaft encoders, which produce a predetermined number of pulses per revolution on robotic driving wheels, are typical. The CPU counts these pulses and can determine the travel distance.
Utilizing motion sensors to ascertain the robot's shift in relation to a predetermined position is known as odometry. For instance, if a robot is moving in a straight line and knows the diameter of its wheels, it can figure out how far it has traveled by counting the number of wheel revolutions.
The Global odometry sensor market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
To accelerate the development and commercialization of GNSS inertial navigation sensors that implement visual-inertial odometry sensors, Movella, a leading full-stack provider of sensors, software, and analytics that enable the digitization of movement, has partnered with Fixposition, a manufacturer of precise positioning sensors.
An external wheel speed sensor can also be used as an optional input source for the Xsens Vision Navigator. In GNSS mode with an RTK fix, this positioning sensor achieves centimeter-level accuracy. The Xsens Vision Navigator alone achieves class-leading accuracy without GNSS signals.
The Xsens Vision Navigator is ideal for outdoor positioning applications like material handling equipment, commercial and specialist vehicles, last-mile delivery, inspection equipment, inspection drones, agricultural equipment, mining and construction equipment, and so on because of its high performance both with and without GNSS signals.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive Innovation in the Industry |
10 | Technology Trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in the US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on the point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End Use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in the past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in the past 12 months |
26 | M&A in the past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunities for new suppliers |
31 | Conclusion |
32 | Appendix |