Combining exteroceptive sensors aboard a UGV
This initial blog post will discuss the use of exteroceptive
sensor systems aboard the Daredevil PackBot unmanned ground vehicle (UGV) to
navigate in all weather conditions, as outlined in Yamauchi’s paper titled “Fusing
Ultra-Wideband Radar (UWB) and LIDAR for Small UGV Navigation in All-Weather
Conditions.”
Yamauchi’s research into the use of UWB radar and LIDAR builds
upon previous research that showed UWB radar was capable of detecting objects “in
a snowstorm, through dense fog, and through sparse foliage” (2010). However, the use of radar is not as accurate
as LIDAR or visual navigation techniques, reducing the speed at which the UGV
can operate. The use of a calibrated max
filter algorithm addressed issues experience differentiating between ground
clutter returns and obstacles, but remained unable to match the accuracy of
LIDAR or stereo vision sensors.
Yamauchi,
Brian. (2010). Daredevil Packbot
[digital image]. doi: 10.1117/12.850386
Advantages to the incorporation of UWB radar were evident when
the detection capabilities of radar, LIDAR, and stereo vision ranging were
compared between a room filled with clear air and a room filled with dense
fog. While the visual and LIDAR sensors
produced the most accurate depiction of the room in clear air, they were
completely obscured by the fog. Performance of the UWB radar was unaffected in
the foggy environment.
Yamauchi, Brian. (2010). RADAR/LIDAR
Experiments [digital image]. doi: 10.1117/12.850386
As mentioned at the beginning of this post, the navigational
sensors and processes summarized above represent the use of exteroceptive
sensor systems to obtain a sense of the environment surrounding the UGV. In this instance, active and passive sensor
systems are utilized in harmony to provide the most suitable system given
environmental conditions. While LIDAR (active)
and stereo vision (passive) are utilized in clear air, UWB radar (active) is
utilized when LIDAR and stereo vision are ineffective. This novel method enables the UGV to navigate
in all conditions and will likely see further development for battlefield or rescue
operations.
Reference:
Yamauchi, Brian. (2010).
Fusing ultra-wideband radar and
lidar for small UGV navigation in all-weather conditions. Proceedings of SPIE. 7692. doi: 10.1117/12.850386
John, I enjoyed reading your blog it was very informative As a caveat I like to say that I believe that one of the most important things about the future of sensors is minimizing the size so that all unmanned vehicles can have more sensing capability while simultaneously taking away the hurdle of not having enough space to fit them.
ReplyDeleteJon,
ReplyDeleteNice post! Very interesting, navigation in all-weather conditions is certainly a challenge. I think a hybrid solution using LiDAR and radar is a promising concept but I know there have been some other promising innovations that also may solve the detect and avoid problem for UAVs. Have you read about Echodyne's metamaterial radar arrays? ( https://echodyne.com/ )
Echodyne's radar unit is made out of a metamaterial that manipulates electromagnetic waves in a unique way that mimics the phased-array radar systems that the military uses, at a fraction of the cost and size (Ackerman, 2016). The material has been developed to be able to physically manipulate electromagnetic waves in order to steer the antenna's beam. You can see how a UAV navigates using this sensor in a early test video:
https://www.youtube.com/watch?v=OGy9sDNMm2Q
By using this metamaterial to construct its radar unit, Echodyne has been able to produce a high functioning unit at 1/10 of the cost of comparable units (phased array radar) that are used in the military’s combat jets and is aiming to reduce the cost even more (Ackerman, 2016).
Great post, I enjoyed reading it!
Respectfully,
Rachael
Ackerman, E. (2016, Nov 8). Metamaterial Radar is Exactly What Delivery Drones Need. Retrieved from: http://spectrum.ieee.org/automaton/robotics/drones/metamaterial-radar-is-exactly-what-delivery-drones-need