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 sensors are used to monitor volcanoes?
Monitoring volcanoes is complex, and it’s an important activity to ensure public safety in many areas of the world. It involves monitoring ground deformations, earthquakes and vibrations, volcanic gas, rock and water chemistry, and remote sensing from satellites. Volcano monitoring needs to be implemented on a continuous basis or in near-real-time and is an extreme […]
What does sensor-activated mean?
Some of the earliest uses for sensors that emerged over a hundred years ago involved direct actuation for control. Think of the mercury thermostat. A thermally responsive coil moves with changes in temperature and tilts a mercury chamber until it closes a set of contacts to turn on a heater in the home or office […]
