Not only could the thermal stereo camera theoretically tell the vehicle’s computer system to slow down upon detecting an object in the road in any lighting condition, it could also provide redundant distance data, along with the vehicle’s visible camera and radar systems, to ensure the vehicle makes the most appropriate decision for the circumstance.
Safe advanced driver assist system (ADAS) vehicles and autonomous vehicles (AV) require sensors to deliver scene data adequate for the detection and classification algorithms to autonomously navigate under all conditions.
The Governors Highway Safety Association (GHSA) estimates 6,200 pedestrians were killed in traffic accidents in the U.S. in 2018, the highest total since 1990. The GHSA also found that, during the past 10 years, nighttime crashes accounted for more than 90 percent of the increase in pedestrian deaths.
The FLIR starter thermal dataset enables developers to start training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective thermal cameras from FLIR.
With growing applications in industrial 3D metrology, machine vision, automotive obstacle avoidance, security and security, and other digital imaging applications, the demand for optical and image sensors has also grown.
The limiting factor on a diode laser’s pulse features is not the laser itself — it is the electrical driver that supplies the electrons to the laser diode. This paper discusses challenges involved in optimizing nanosecond electrical driver performance in a flash LiDAR system.
The competition to be the leading diode laser source for automotive lidar is not a race to the top, but rather a race to the starting line. Before reaching the goal to implement lidar ADAS in consumer vehicles by 2020, there must be at least one year of certification and testing before going to market.
The need for advances robotics with high precision and alignment requirements continues to grow in the automotive industry. This white paper describes the major benefits that hexapod 6-axis parallel machines have for conventional robots in automotive precision assembly lines.
Engineers are continuously looking to improve the efficiency of internal combustion engines (ICEs). This white paper walks through this experiment and investigates the different phases of the combustion cycle using four different spectral filters in order to see the difference in the exhaust fumes.