According to foreign media reports, FLIR Systems, Inc. believes that to improve the safety of autonomous vehicles, the use of thermal imaging reading technology is a good choice, which can deal with all kinds of extremely challenging Light and climate conditions.
In order to promote the deployment and application of such thermal sensors, FLIR provides an open source data set, covering 10,000 tagged far-infrared images, aiming to demonstrate how to use this technology to treat pedestrians, animals, bicycles, and bicycles in poor driving conditions. Other vehicles are classified, and their driving scenarios involve: dark external environment, dense fog, smoke and dust, scorching sun, etc. If a thermal imaging camera (thermal cameras) is used, it can be matched with the data set, or it can identify a target 200 meters away, which is equivalent to 4 times the detection distance of a conventional headlight. Mike Walters, vice president of product management for FLIR’s micro-cameras, said: “The navigation function of a vehicle is limited by the perception accuracy provided by the on-board sensor kit. The visual sensor cannot function properly under challenging lighting conditions such as pitch darkness, hot sun, and dense fog. The thermal imaging sensor only needs to sense heat, not visible light, and is protected from such adverse conditions. Therefore, under the above conditions, thermal imaging cameras can provide more precise situational awareness and perception. Thereby improving the safety of the vehicle and optimizing the on-board navigation function.†Currently, autonomous vehicles in road testing are usually equipped with conventional cameras, ultrasonic sensors, radar, lidar and other equipment to perceive the surrounding environment of the vehicle. Although the information collected by the above-mentioned sensor kit helps the on-board system to make corresponding driving decisions, under certain conditions, the sensor matrix may cause data transmission delays and affect safety. For this reason, it is still difficult to calculate the performance improvement that the FLIR thermal long-wave infrared (LWIR) camera can bring, but the newly released open source data set this week will provide opportunities for car companies and help To build the required algorithms and gradually understand the advantages of this type of equipment.
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