QuantifyAR vs RTAB

Create and organize your Project QTOs and estimates with ease using this one-of-a-kind app! QuantifyAR has the unique ability to measure accurately from scale drawings and aerial photos. Import a drawing, set the scale, and start measuring! Take it a step further by applying customizable cost rules to get a complete estimate of costs and materials required to complete your project! Measure length, width, height, area, volume, weight and count from drawings, aerials, or on site using augmented reality (AR). Note that the free version has a limit on the number of projects and quantities that can be saved. Create quantity takeoffs and estimates for ANY type of project: - gravel, soil, mulch, and bulk landscape material volumes - siding, paint, tile, carpet floor and wall areas - lumber and framing materials - concrete and foundation volumes - cable or pipe run length - doors and window count - plumbing fixture count - furniture count - roofing material area - fencing length, area, and material list Once you have created your takeoff, you can create an unlimited number of cost rules to answer questions such as: How many truckloads of gravel? How many gallons of paint? How many boxes of siding? How many boxes of floor tile? How many 8ft 2x4 studs? How many rolls of carpet? How much rebar for my slab? How many fence boards and posts? And most importantly...How much will it COST? Share your project takeoff and estimate with your team members or customers with the touch of a button. If you are a contractor, builder, interior designer, estimator, or DIY-er, you need to download QuantifyAR now and experience an all new way to calculate your material list and create your quotes. Devices with LiDAR capabilities are not required but may benefit by having a faster and more accurate measuring experience.

RTAB-Map (Real-Time Appearance-Based Mapping) is an Open Source LiDAR / RGB-D / Stereo Graph-Based SLAM (Simultaneous Localization and Mapping) approach based on an online incremental appearance-based loop closure detector. The loop closure detector uses a bag-of-words approach to determinate how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map's graph, then a graph optimizer minimizes the errors in the map in real-time. An optional memory management approach can be used to limit the number of locations used for loop closure detection and graph optimization, so that real-time constraints on large-scale environnements are always respected. ARKit's visual inertial odometry (VIO) is used as the SLAM front-end for RTAB-Map (the SLAM back-end). * Note that unlike other scanning apps that optimize the map only after mapping, with RTAB-Map you get loop closure detection and map optimization online so you can have a live feedback to know when you have enough constraints in the map for good global optimization before stopping the scan. *** 3D reconstruction available only with LiDAR sensor. Features: * Online 3D scanning/mapping of the environment. * Online loop closure detection and map correction. * Save in DB format (RTAB-Map desktop and rtabmap_ros format). * Export in PLY, LAS or OBJ. * Multi-session mapping (save and continue later). * Use Apriltags to help finding loop closures in textureless environments. * Mixed AR/VR First-Person in visualization mode. * Raw ARKit data recording (up to 60 Hz!), useful to record long sessions without comprising battery life.