Dashify surveys streets and urban corridors, reconstructs the environment as a point cloud, and delivers poles, arms, trees, sidewalks, facades and signs as measurable georeferenced data.
Vehicle and handheld surveys, 3D processing, classification and GIS deliveryThe result is more than a sequence of photographs. It is a continuous three-dimensional representation of the surveyed corridor, linked to a trajectory and prepared for control, classification, measurement and geographic-system integration.
SLAM estimates equipment motion while registering new observations into the same map. It reduces exclusive reliance on GNSS and helps preserve continuity under trees, near buildings, in passages or where satellite signals degrade.
LiDAR measures the return time of light pulses to calculate distances. Millions of readings form a 3D point cloud that represents surfaces, heights, volumes and clearances.
LiDAR, an inertial unit, GNSS and panoramic imagery can be combined to stabilize the trajectory, add visual context, control quality and place the survey in the project's coordinate system.
The mobile system records complete geometry as the vehicle travels. Teams can review, measure and classify in the office, reducing repeated traffic exposure and making inventory updates more consistent.
Streets and avenues are captured as connected corridors instead of requiring manual measurement of every asset during the initial pass.
Poles, trees, facades, sidewalks, signs and pavement remain spatially related in one three-dimensional scene.
The point cloud supports review of height, diameter, tilt, distance and interference using a registered and controlled data source.
New campaigns can repeat corridors to identify changes, removed assets, vegetation growth or road modifications.
Mobile SLAM and 3D LiDAR mapping for streets, avenues, poles, luminaire arms, urban trees, facades and georeferenced asset inventories.
Our operation combines vehicle speed, 360-degree coverage and handheld mobility to document extensive corridors and areas a car cannot enter.
Our team uses an integrated vehicle system to survey large infrastructure areas with a continuous trajectory and synchronized imagery and point clouds.
LiDAR + SLAM + GNSS + 360 imagery
The survey documents carriageways, gutters, sidewalks, access points, facades, visible utilities and street furniture in residential and commercial corridors.
Road geometry, sidewalks and urban frontages
The capture covers multiple lanes, medians, intersections, signals, shelters, drainage and lighting within one three-dimensional reference.
Wide corridors and connected assets
Processing records location, height, apparent diameter, canopy volume and proximity among trees, poles, facades, circulation routes and overhead networks.
Tree inventory and interference analysis
Technical extraction delivers position, height, tilt, arm length and orientation, plus distances among assets, canopy, roadway and buildings.
Public lighting and vertical infrastructure
Our team completes the survey in plazas, passages, stairs, interiors, alleys and covered areas using a handheld scanner or mapping backpack.
Continuity where vehicles cannot accessThe point cloud preserves the scene's three-dimensional shape. After processing and control, it can support measurements, records, designs, inspections and maintenance decisions.
Position, height, verticality, diameter and clearances.
Length, projection, elevation and spatial orientation.
Trunk, height, canopy extent and interference.
Edges, widths, level changes, ramps and corridor sections.
Location, height, orientation and relationship to the road.
Planes, distances, apparent volumes and urban envelope.
Dashify defines and documents tolerances, calibration, acquisition conditions, control points and validation methods according to each project's required accuracy.
Dashify conducts planning, acquisition, processing and control under one quality framework, with a methodology tied to the contracted products.
Our team defines corridors, assets, attributes, coordinate systems, tolerances and delivery formats.
Sensors, synchronization, control points, control trajectories and acceptance criteria are verified before and during execution.
Routes are surveyed with controlled coverage, including handheld capture in areas hidden from or inaccessible to the vehicle.
Observations are combined to correct drift, register passes, georeference data and remove survey noise.
Ground, vegetation, buildings and objects are classified to generate records and measurements according to the contracted scope.
Delivery includes sample control, quality documentation, 3D data, GIS layers, inventories and reports.
Delivery is structured around the contracted application, combining point clouds, inventories, models and reports with formats and levels of detail defined in scope.
Registered, georeferenced and organized data in formats such as LAS, LAZ or E57 according to project requirements.
Points, lines and polygons with attributes in GeoPackage, SHP, GeoJSON or an equivalent integration.
Records for poles, luminaires, trees, signs, signals and other elements with position and attributes.
Sections, profiles, meshes or simplified models for analysis, design, visualization and digital twins.
Methodology, equipment, controls, coverage, limitations, samples and consistency indicators.
Repeated campaigns supporting change detection, vegetation growth analysis and record updates.
Dashify's team plans routes, defines classes and tolerances, performs vehicle and handheld capture, controls coverage and accuracy, processes point clouds, and delivers GIS-ready integrations. Clients receive a complete, documented and scalable service.
Clear information about the technology, positioning, accuracy, handheld capture and data products delivered by Dashify.
SLAM means simultaneous localization and mapping. The algorithm estimates the sensor trajectory while building and registering a map of the observed environment. It can maintain continuity when GNSS varies, provided there is sufficient geometry and the survey follows an appropriate methodology.
LiDAR emits light pulses and measures their return time to calculate distance. Each return becomes a 3D point; millions of them form a cloud representing surfaces, objects, vegetation, roads and buildings.
Not necessarily. In professional mobile mapping, SLAM, GNSS and an inertial unit usually complement one another. GNSS provides global positioning, the inertial unit records motion, and SLAM uses observed geometry to preserve and refine the trajectory.
There is no single number valid for every project. Accuracy depends on the sensor, calibration, speed, distance to objects, geometry, GNSS coverage, control points and processing. Dashify's technical proposal documents tolerance, verification method and final product.
Handheld scanning is suitable for plazas, alleys, stairs, covered passages, interiors, pedestrian areas and zones hidden from the vehicle system. Both methods can be registered in the same reference according to the survey plan.
Depending on scope, delivery can include LAS, LAZ or E57 point clouds, GIS layers, asset inventories, panoramic imagery, profiles, sections, meshes, 3D models and a quality-control report.
Dashify handles vehicle and handheld surveying, processing, quality control and data delivery for urban inventories, engineering, forestry, public lighting, mobility and digital twins.
