Ever wondered how your Roomba knows not to vacuum the same area twice? Enter SLAM Engineering. No visions of tennis, basketball, or family breakfasts here, but this SLAM is an acronym and stands for simultaneous localization and mapping. This is the algorithmic technology that drives autonomous vehicles, AR, and robots.SLAM (simultaneous localization and mapping) is the technology your Roomba uses to vacuum your space. Algorithms map out the unknown area and then that information is carried out by engineers who develop systems for path planning and teach it to avoid obstacles. But it’s more than what drives your Roomba. It can also drive robots and autonomous vehicles, so what’s driving the increase in demand?Four Key Factors Contributing to GrowthAccording to the SLAM Technology Market Research Report, the market is expected to increase forty-two percent between 2021 and 2030 up from $157.5 million in 2021. To reach this goal, there are four key factors contributing to this growth:The emergence of autonomous vehicles.Increased AR applications.Increased use and demand of unmanned aerial vehicles (UAVs).Advancements in visual SLAM.Connected vehicles technology is helping improve safety and efficiency which is increasing interest from the automotive industry, tech companies, the military, and the general population. UAVs, location mapping, surveillance, and detection are set to make the military the fastest growing category by end user. The sensors, cameras, and algorithms also lend themselves to the ability to increase safety for soldiers and keep humans from hazardous conditions. Whether it’s UAVs, autonomous vehicles, AR applications, or field robots what is it that makes SLAM work?How SLAM WorksWe dreamed of flying cars before we had the technology, and while we’re not yet jetting off in our Kia to skies unknown, there have been significant advancements in computer processing speed and more cost-efficient cameras and sensors to drive us into the future. To achieve simultaneous localization and mapping (SLAM), there are two types of technology required.Sensor signal processing Pose-graph optimizationWhen it comes to Computer Vision and how SLAM Engineers and engineering is in demand, there are two other definitions to consider. The first is visual SLAM (vSLAM) and the second is Monocular SLAM.Visual SLAM (or vSLAM) uses simple camera images using such as wide angle, spherical, multi-camera sensors, and is an integral piece when it comes to embedded vision. Monocular SLAM is when vSLAM uses a single camera as the only sensor to measure physical variables such as velocity and orientation. Autonomous vehicles, UAVs, and connected vehicle technologies are just the beginning for SLAM engineering, but every industry is on the lookout for top talent to help them improve and refine their localization and mapping dynamics. This is a new and emerging field and demand is high. If you’ve ever wanted to get in on the ground floor of something new and find out what you’re capable of, SLAM Engineering may be for you.If you’re a business on the cutting edge in the automotive, manufacturing, or aerial fields, and want to get ahead of your competition, now is the time to find out what a SLAM Engineer can do for your business.If you’re interested in Digital Analytics, Computer Vision, Advanced Analytics, Data Science, Machine Learning, or Robotics just to name a few, Harnham may have a role for you. Check out our latest Computer Vision jobs or contact one of our expert consultants to learn more. For our West Coast Team, contact us at (415) 614 – 4999 or send an email to email@example.com. For our Arizona Team, contact us at (602) 562 7011 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to email@example.com.