You can’t avoid what you can’t see — navigate confidently and avoid potential accidents with Trimble perception technology. Maintain reliable positioning data to keep your autonomous projects safe and on track.
Leverage multi-sensor systems that deliver reliable data, even in GNSS-denied environments. Trimble perception technology includes simultaneous localization and mapping (SLAM) to reliably track motion and inertial navigation systems (INS) to calculate relative vehicle positioning.
- Reliably determine positioning information, even within challenging farming environments
- Orchestrate more precise autonomous farm operations such as spot spraying with confidence
- Protect expensive equipment from obstacles and other hazards during operation
- Confidently navigate through highly visually repetitive and dynamic environments
- Reduce costs by minimizing wasted fuel, maintenance and operator expenses
- Navigate weather conditions and potential hazards that may cross a vehicle’s path
- Integrate inertial navigation systems (INS) for added safety and redundancy with accurate positioning estimates based on motion
- Reduce costs by avoiding the need for redundant sensors with independent perception modules
- Navigate challenging construction and industrial environments riddled with hazards and obstacles
- Maintain worksite operations even when GNSS is unavailable
- Increase accuracy and consistency across machine operators with varying skill levels
- Improve safety and efficiency within mixed-fleets of construction machines
- Ensure equipment longevity by avoiding damage, idle time and inefficiencies due to operator error
- Increase safety and reduce incidents caused by weather conditions and human error
- Confidently navigate tight maritime environments including busy inland waterways, harbors and locks
- Correct for multipath GNSS positioning errors caused by bridges, buildings and other ships
- Compensate for interference and jamming caused by land-based devices
- Navigate busy, dynamic port environments with self-driving trucks capable of avoiding obstacles
- Operate confidently in the most challenging GNSS environments, including open pit and underground
- Overcome mining-specific sensor challenges such as positional drift and self-occlusion
- Ensure safety with pinpoint positioning for self-driving machinery using real-time obstacle avoidance technology
- Lower costs by maximizing the lifetime of machines and reducing the need for onsite manpower
- Increase efficiency and reduce overall reliance on dangerous, manned operations
Applanix releases updated version of POS LVX for autonomous ground vehicles
Dual-antenna heading, compact design and calibrated high-performance MEMS sensors improve performance and facilitate integration with vehicle sensors.
Vehicle automation
Driverless vehicles – those capable of sensing the environment and navigating without human input – require robust positioning and orientation information at all times, in all environments. This information is necessary for the vehicles' navigation and control systems.
By leveraging lidar-based simultaneous localization and mapping (SLAM) your vehicle has the freedom to reliably navigate in any environment. Scale your autonomy operation with robust scene understanding and obstacle detection — even in GNSS-denied areas.
Every application and operating environment is unique but sufficient coverage doesn't mean you need every sensor on the market. A one-size-fits-all approach can be costly. That’s why Trimble solutions are customizable to connect you to the data you really need.
