Researchers at the US Southwest Research Institute have developed camera-based autonomous driving tools that can work without deploying technologies like LIDAR and RADAR.solutions rely extensively on light detection and ranging sensors to visualize objects around the vehicle. A software solution then identifies the objects nearby and helps the vehicle’s computer decide whether to halt or slow down.
While this technology can work for civilian transport, the light from the LIDAR sensors is easy to detect. It can easily compromise the location of a unit if used on military vehicles. Similarly, RADAR technology that uses radio waves is also easy to detect, and the Global Position System , which uses satellites, can be blocked.
The system was envisioned as an alternative to LIDAR and focused on cameras since they do not emit light or laser signals when working. However, the team had to develop new software to use the camera data to perform high-precision tasks usually achieved with The researchers also developed a factor graph algorithm to combine sparse data from stereo images and landmarks and inertial measurement unit readings to deliver localization data.The project was initially planned to help SwRI’s defense clients. Still, as the capabilities of VORA came to the fore, the researchers realized that the applications of the tools extended far beyond.
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