Safety lies in the core of autonomous driving. In complicated environments such as night, haze, and dust, traditional sensing solutions may not be able to capture the road condition accurately, while the performance of infrared thermal imaging is not compromised.
It is able to penetrate dust and mist, detect a long range, and accurately identify vital signs, which can improve the safety and comfort of autonomous driving.
Raytron has established partnerships with a number of OEMs and major players in autonomous driving, including BYD, Geely Auto, Yuan Hang Automobile, Didi Autonomous Driving, TuSimple, SmartxTruck, and Tage Idriver. With more OEMs, Tier 1 vendors, and autonomous driving companies joining the game, as well as the shaping of regulations, a broader application of infrared thermal imaging in autonomous driving is expected.
In adverse weather conditions such as rain, fog, and haze, drivers’ judgment can be affected by impaired visibility. Infrared thermal imaging leverages superior dynamic range compression and contrast stretching algorithms to enhance the resolution and contrast of images, helping drivers and autonomous driving systems see the road condition clearly in adverse weather.
Infrared thermal imaging technology can form clear images through infrared detectors in dark environments, and can suppress strong light through excellent brightness maintenance algorithm to help drivers and autonomous driving systems see the road ahead clearly.
Infrared thermal imaging can monitor the road conditions in real time, clearly present the vehicle and road information in front to the driver or the autonomous driving system through professional image enhancement algorithms, predict collision hazards in advance and improve driving safety.
Pedestrian recognition is an important feature of intelligent driving. Infrared thermal imaging leverages thermal radiation imaging to improve the perception of living bodies. If a pedestrian appears in the monitoring area, the system makes a quick judgment, followed by overlaying a pedestrian detection frame and a warning sign, so that the driver or the autonomous driving system is fully aware of the road condition.
Infrared thermal imaging is capable of detecting the road conditions ahead, enabling target detection and lane detection with specific algorithms. In the event of lane departure or other abnormal situations, it sends alarms to the driver or the autonomous driving system in a timely manner, and ensures driving safety.
