LOCALIZATION FOR MOBILITY
Centimeter-level positioning for every vehicle, on the road and in the field
From robotaxis on downtown grids to driverless trucks on the interstate and tractors working the row, autonomous vehicles need to know exactly which lane they occupy. Point One's GNSS corrections and sensor fusion modules deliver the accuracy and continuity that L4 operations require.
CORE APPLICATIONS
Keeping your vehicle centimeter-accurate
From driver assistance (ADAS) to full autonomy, highway hubs to open fields, Point One delivers centimeter-level positioning and sensor fusion at fleet scale. Holding a lane, reaching a pickup curb, or planting a straight row all starts with knowing exactly where your vehicle is.
4-WHEEL VEHICLES
Lane-level positioning for hands-free driving, lane-change assist, and navigation, with dead reckoning that carries accuracy through tunnels, garages, and urban canyons.
ROBOTAXIS
Continuous positioning for driverless ride-hail, giving the autonomy stack an absolute reference to cross-check LiDAR and HD map localization at every curb and intersection.
Trucking & L4
Highway-speed accuracy across long hub-to-hub corridors, with network density that holds corrections steady from one state line to the next and sensor fusion that bridges overpasses and tunnels.
TRACTORS
Repeatable pass-to-pass accuracy for planting, spraying, and autonomous tillage, so implements stay between the crop rows instead of driving over them.
positioning engine
Motion models built for every wheelbase
Through fused GNSS corrections, IMU, and wheel odometry, the Positioning Engine maintains accurate positioning through highway speeds, tight urban turns, and slow field passes, with automatic calibration of installation offsets, IMU bias, and encoder scaling in real time.
Finely-Tuned Motion Models
Vehicle-specific motion models for passenger cars, heavy trucks, and agricultural equipment, tuned to each platform's wheelbase, mass, and turning dynamics.
Tightly Coupled System
Pre-calibrated fusion of GNSS corrections, IMU, and odometry that keeps accuracy when open sky disappears.
RTK network
Drive with confidence on the most geographically dense RTK network in the world
Point One's RTK Network enables rapid convergence, so every vehicle gets a precise fix before it leaves the depot. With an average of 40 km to the nearest reference station, your fleet keeps consistent accuracy across cities, highways, and rural farmland, where sparse networks produce the largest excursions.
True RTK (1-2 cm)
Single-baseline and Network RTK that enables centimeter accuracy horizontally and vertically.
Virtual RTK (3-7 CM)
Continental SSR delivery of corrections where wide coverage is important.
HARDWARE-AGNOSTIC
Runs on any platform
The Positioning Engine is built to perform anywhere, from an automotive-grade module to the autonomy compute in a robotaxi. It delivers identical accuracy across architectures, giving OEMs control over integration, performance, and power.
CROSS-ARCHITECTURE SUPPORT
Runs natively on lightweight MCUs and high-performance processors alike.
PORTABLE CORE
Written in C/C++ for easy integration into custom hardware and software stacks.
FLEXIBLE DEPLOYMENT
Supports on-module, companion, or external configurations — without sacrificing precision.
WE KNOW MOBILITY
Positioning expertise for your vehicle
Average accuracy on a spec sheet doesn't keep a vehicle in its lane. Tail-risk excursions decide that. Point One builds for the 99th percentile, with a wholly owned, densely deployed network, and sensor fusion that carries through every lost fix.
Dead reckoning
Vehicles lose GNSS in tunnels, parking structures, and under overpasses, exactly where lane decisions get made. Point One fuses IMU and wheel odometry to maintain continuous, lane-level positioning through every gap.
LANE-LEVEL ANYWHERE
Lane-keeping can’t depend on which city the vehicle is in. Point One’s densely deployed RTK Network delivers the same centimeter-level accuracy from downtown cores to rural highways, wherever the fleet drives.
High-speed autonomy
At 200 mph in the Indy Autonomous Challenge, positioning has to keep pace with the vehicle. The same engine runs on autonomous trucks and robotaxis, where highway speeds leave no margin for a late fix.
Fleet-scale operations
Autonomy teams including Zoox, May Mobility, Humble, and Einride build on Point One. One GraphQL API handles provisioning, license management, and observability across every vehicle in the fleet.