FLIR ADK
The FLIR ADK allows developers to add a long-range thermal camera to their ADAS development vehicles to help advance reliability and redundancy required for self-driving cars. The thermal sensors create images from heat, not light, and can detect pedestrians and oncoming vehicles regardless of lighting condition. FLIR thermal imagers help drivers see well beyond their high beams- day, night, through most fog, smoke and haze, and past the glare of oncoming headlights or the sun low on the horizon.
FLIR
Specifications
| Width | 35 |
| Height | 40 |
| Depth | 47 |
| Pixel Pitch | 12 |
| Spectral Band | 8-14 |
| Thermal Sensitivity | < 50 |
| Weight | 100 |
| Camera Interface | |
| Data Format | |
| Environmental Protection | |
| Operating Temperature | -40 to +85 |
| Shock | 1,500 G @ 0.4 msec |
| Array format | 640 × 512 |
| Frame Rate | 30 & 60 |
| Sensor Technology | |
| Solar protection | |
| HFOV - Thermal | 75 |
| Power Consumption | 1 |
| Power Requirements |
Overview
The FLIR ADK allows developers to add a long-range thermal camera to their ADAS development vehicles to help advance reliability and redundancy required for self-driving cars.
The thermal sensors create images from heat, not light, and can detect pedestrians and oncoming vehicles regardless of lighting condition. FLIR thermal imagers help drivers see well beyond their high beams- day, night, through most fog, smoke and haze, and past the glare of oncoming headlights or the sun low on the horizon.
The ADK’s IP67-rated enclosure incorporates a heated window for all-weather driving. The ADK has USB, GMSL, Ethernet, and FPD-Link interfaces, which makes installation plug-and-play. The thermal data stream ports into existing host platforms for recording, processing, and analytics. Multiple field-of-view con figurations are available to meet various integration needs and different operational design domains.
The FLIR ADK features the high-resolution FLIR Boson, which is equipped with an Intel Movidius Myriad 2 Vision Processing Unit, a low-power multi-core vision processor that fits within a compact footprint package for automobiles. The ADK is also compatible with the NVIDIA DRIVE autonomous vehicle computing platform.
References
Describes the installation, operating, and controls of the hardware.
Describes the software aspect of the product.
Continue Reading
The guide to understanding the state of the art in hardware & software for self-driving vehicles
Everything you should know before your next conversation about self-driving cars
Car sharing with autonomous vehicles could improve cities in many different ways. Singapore is taking a pioneering role, working with ETH researchers to explore the potential of personalised, electrified and automated public transport.
