Inside GNSS Media & Research

SEP-OCT 2018

Issue link:

Contents of this Issue


Page 26 of 67 S E P T E M B E R / O C T O B E R 2 0 1 8 InsideGNSS 27 GPS in heavily jammed conditions. Dr. Basnayake believes that the Locata infrastructure can enable standalone precision PNT or as an augmentation of GNSS to enable autonomous vehicle control and precise positioning of vehicles. He said, "We're working on getting our sys- tem to be frequency f lexible and integrating with GNSS to reach new markets. We see a lot of potential for Locata infrastructure as a cor- relator beamforming solution (spatial filtering of directional signal transmissions) for GNSS and time synchronization using RF signals for autonomous vehicles down the road." The Locata team is very involved in automo- tive safety testing at the Insurance Institute for Highway Safety (IIHS) Vehicle Research Center (VRC). AVOIDING THE POTHOLES With regard to state-of-the-art and science around testing solutions for autonomous vehicles and robotics, Hay said, "For us to have confidence in the output of a vehicle localization sensor, we need confidence in the input. It's critical that we characterize the quality and our confidence whether its LIDAR, cameras radar GNSS, IMU or map. We've made good progress within GM about methods and parameters to look at care- fully from those sensors so we can confidently evaluate the input of those sensors, but there is no easy solution to the problem." When asked if the development and testing can be done with hardware in the loop (HIL) simulation alone, the panel answered with a resounding negative, adding that considerable data collection, validation and road testing must be done in coming years. Spenko noted, "I be- lieve that we'll seen an exponential increase to the number of test miles driven in the next 10 years from millions today to 100s of millions in next 10 years, though that doesn't mean we're 10 years away from seeing them on the road. I would probably still hop in self-driving car be- fore that happens." Hay agreed, concluding, "There is a role for hardware-in-the-loop simulation and certainly there's a role for looking at component per- formance in a controlled environment. Those activities could reduce timelines and speed de- ployment to market for autonomous functions, but at same time these are complicated systems and road environment is unpredictable and there's no substitute for getting out there in a live vehicle in the wild. We need to be creative and clever in defining the mixture of real world hands-off-the- wheel driving versus intelligent test equipment." To learn from some of brightest minds in the industr y on this subject matter, watch: Beyond GNSS: A System of Systems—Testing Solutions for Autonomous Vehicles and Robotics webinar. ✵ BY THE NUMBERS » PARTICIPANTS´ VIE S Apart from GNSS/other sensors for absolute localization, what are the most important perception sensors for autonomous vehicles? (Please select top two) Experimentally validating the performance of safety-critical autonomous vehicle PNT system will require: (single answer required) A month's worth of data 1% A year's worth of data 39% 10 years' worth of data 32% Can all be done in simulation 27% Radar 30% LiDAR 70% Cameras 74% Compared to aviation systems, the reliability requirements of PNT systems for autonomous ground vehicles are expected to be: (please select one) MORE STRINGENT 52 % Equally Stringent 32 % Less Stringent 16 %

Articles in this issue

Links on this page

view archives of Inside GNSS Media & Research - SEP-OCT 2018