In addition to improved performance from individual sensing technologies, including radar and light detection and ranging (LiDAR), other ongoing advances for sensor fusion are required for more complex advanced driver-assistance systems (ADAS) and to achieve the highest levels of autonomous driving (AD). Future trends in other technologies for sensor fusion Ongoing advances to improve sensor […]
sensor fusion
What are the latest advances in radar and LiDAR technologies for sensor fusion: part 1
Through sensor fusion, the combined benefits of radar and light detection and ranging (LiDAR) sensing are being implemented in each new generation of advanced driver assistance systems (ADAS). Improvements in these sensing technologies will provide improved performance for future applications. However, they will also require advancements in cameras and other system aspects, including inertial measurement […]
How can designers evaluate and benchmark sensor fusion systems for autonomous machines?
It is always good to remember or be reminded that “If you cannot measure it, you cannot improve it,” as Lord Kelvin observed. This is certainly true for today’s newest design approaches, such as sensor fusion. For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving (AD), key performance […]
How to implement multi-sensor fusion algorithms for autonomous vehicles
To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is adequate by itself, and each of these sensors has its strengths and weaknesses. As shown in Table 1, one or more sensing techniques overcome the weaknesses of […]
What are the mathematics that enable sensor fusion?
The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, which allow for combining data from multiple sensors while accounting for noise and uncertainty to produce a more accurate overall picture of a system or environment. Neural networks (NNs) are […]
How is sensor fusion used in medicine?
Sensor fusion is most frequently discussed in smartphone and automotive control applications. However, the fusion aspect was initially created for military analysis. From the analysis standpoint, for improved decision-making, medical applications can and have benefited from sensor fusion. One example is in cancer detection and focused surgery. Specifically, the detection of and surgery for prostate […]
What is the role of sensor fusion in robotics?
As robots become increasingly autonomous, sensor fusion is growing in importance. Sensor fusion merges data from multiple sensors on and off the robot to reduce uncertainty as a robot navigates or performs specific tasks. It brings multiple benefits to autonomous robots: increased accuracy, reliability, and fault tolerance of sensor inputs; extended spatial and temporal coverage […]
Sensor fusion: What is it?
Today, advanced sensing applications in smart phones and automobiles frequently use sensor fusion. However, advanced industrial applications such as sophisticated robots also take advantage of this technology. Sensor fusion is actually a subcategory of data fusion and is also called multisensory data fusion or sensor-data fusion. For location sensing in smart phones the data from […]
Sensor Fusion of Twelve Inputs for Windows 8
At Sensors Expo 2012, Stephane Gervais-Ducouret, Director of Global Marketing for Freescale Semiconductor discusses sensor fusion software developed for Microsoft’s Windows 8. The software is demonstrated in a reference platform with 12 axes of sensor input information including 3-axis accelerometer, gyroscope and magnetometer as well as pressure, temperature and ambient light sensors. For more information […]
Flexible Sensor Fusion Solution for Motion Sensing
At Sensors Expo 2012, Ed Brachocki, director of marketing for Kionix explains the company’s sensor fusion software to Sensors Tips senior editor Randy Frank. The software suite runs either as a hardware solution on a microcontroller or as a software solution on an apps processor with a variety of 3-axis accelerometer, gyroscope and magnetometer inputs. […]
