There are Standard Levels of Driving Automation
With all of the news about autonomous vehicles coming from CES 2020 this week I thought it would be of value to re-publish this article on standards for driving automation.
Unlike many technical markets, such as the lidar and 3D laser scanning industry there is good news when it comes to a standard for describing levels of driving automation. The consumer markets have learned that developing and agreeing on standards, especially in emerging industries will benefit all parties and lead to increased productivity.
Posted in AI, artifical perception, artificial intelligence, Autonomous vehicles, computer vision, Consumer, Laser Scanning, Lidar, machine learning, Mapping, Orgs, solid state lidar, Standards
Tagged driving automation, SAE J3016
Time to brush up on some calculus. Thomas Paul explains the basics of 3D coordinate systems in a Hackernoon blog post so that everyone can understand how it works.
“When a laser pulse is emitted, its time-of-shooting and direction are registered. The laser pulse travels through the air until it hits an obstacle which reflects some of the energy. The time-of-acquisition and power received are registered by the sensor after receiving the portion of energy. The spherical coordinates of the obstacle are calculated using time-of-acquisition which is returned by the sensor along with power received(as reflectance) after each scan.
Lidar Alternative from Terranet
Terranet’s lidar alternative claims to process camera – collected scene data in 1 millisecond versus 100’s of milliseconds for lidar sensors.
At this week’s International CES 2020, Terranet will demonstrate VoxelFlow – a 3D motion perception technology capable of detecting and classifying objects far more accurately and exponentially faster than Lidar. Terranet’s demo is timely considering Tesla CEO Elon Musk shocked the press just last April with his remarks: “Lidar is a fool’s errand. Anyone relying on Lidar is doomed. Doomed!” In a bold move, Swedish-headquartered Terranet plans on backing up Musk’s claims that Lidar is merely a dangerous shortcut to image recognition – a perilous reliance if that’s what the promised fully autonomous cars of the future will continue to use.
Invented by Dirk Smits, VoxelFlow was built upon the understanding that today’s camera-based computer vision and artificial intelligence navigation systems are simply too slow and subject to fundamental speed limits of perception using a frame based approach. Lidar has limited resolution and slow scanning rates, making it nearly impossible to distinguish between, for example, a fixed lamppost and a running child. Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, driverless vehicles, Hardware, Lidar, Mapping, Photogrammetry, Research, Sensors, Software
Tagged CES 2020, latency, Safety, Sweden, Terranet, VoxelFlow
Tier 1 Bosch Announces Lidar Sensor
Auto-parts maker Bosch is getting into the lidar business, the company said in a Thursday announcement. That’s significant because Bosch is a “tier 1” supplier—one of the few companies with the scale and infrastructure to supply parts directly to global car makers.
From an article in Ars Technica byTimothy B. Lee.
Little is known about Bosch’s lidar. Bosch says the technology has been developed in-house and boasts a long range and a wide field of view. But the company declined to provide Ars Technica with hard numbers on range, field of view, cost, or other characteristics. That makes comparing Bosch’s lidar to the competition a challenge.
But what Bosch’s announcement does make clear is that lidar is about to shift from an experimental technology to an increasingly common feature on new cars. The fact that companies like Bosch are selling lidar means it will be feasible for major automakers to start offering lidar as an option. Continue reading
Posted in AI, Autonomous vehicles, Business Development, driverless vehicles, Feature Extraction, Laser Scanning, Lidar, Radar, Research, Safety, Sensors
Tagged ADAS, Audi, Bosch Group, Valeo
Remote Identification Rule Proposed
The U.S. Department of Transportation’s Federal Aviation Administration (FAA) has announced a proposed rule for remote identification. That would continue the safe integration of Unmanned Aircraft Systems (UAS), commonly called drones, into the nation’s airspace by requiring them to be identifiable remotely.
From an article by Colin Fluxman in Sun News.
Besides recreational use, drones are hugely popular in the building industry due to the fact that they provide an aerial view of a site at a comparatively smaller amount of the cost of the construction.
This means they can be used to develop plans, track progress and monitor any issues throughout the construction process. Continue reading
Posted in Admin, airborne LiDAR, Drones, Lidar, Orgs, Safety, The Industry, UAS, UAVs
Tagged aviation, construction, FAA, LAANC, Safety
This paper looks at the influence of rain on a lidar sensor using a mathematical model to predict the degradation of the performance.
Rain on Lidar Sensor Fusion – Analog Devices Inc.
Among the many challenges involved in the development of safe, reliable advanced driver assist systems (ADAS), sensing and perception in adverse weather remains one of the most difficult problems.
In fact, a recent article in Bloomberg magazine entitled “Self-Driving Cars Can Handle Neither Rain nor Sleet nor Snow” claimed that “The ultimate hurdle to the next phase of driver-less technology might not come from algorithms and artificial intelligence—it might be fog and rain ”.
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, atmospheric, Autonomous vehicles, computer vision, Data, Environmental, Hardware, Laser Scanning, Lidar, Mobile LiDAR, remote sensing, Research, Sensors, Technology
Tagged ADAS, rain, snow
Prediction – The 20’s Will Be the Lidar Decade
I am putting my reputation on the line with this prediction – the 2020’s will be the Lidar Decade in that the consumer will become as familiar with the term and make use of it in daily conversation as they do with GPS.
There are certainly going to be technologies competing for this title, such as 5G (and more), AR/VR, drones, AI, IoT (or IBE, Internet of the Built Environment) and most importantly autonomous vehicles. It’s the latter that will in fact drive the awareness of lidar in exactly the same way that the automotive sector drove every soccer mom to say, “I’ll just GPS it.” Not knowing of course what G, P and S stand for. Continue reading
Posted in airborne LiDAR, artificial intelligence, Augmented reality, Autonomous vehicles, Business Development, computer vision, Consumer, Deep Learning, Digital Transformation, GPS, Internet of Things, Lidar, machine learning, Radar, Technology, The Industry, Young Geospatial Professional
Tagged 5G, Autonomous Vehicles, Internet of the Built Environment
TRB 2020 January 12 – 16 in Washington, DC
The Transportation Research Board (TRB) 99th Annual Meeting will be held January 12–16, 2020, at the Walter E. Washington Convention Center, in Washington, D.C.and the Consumer Electronics Show (CES) which will get the show season started January 7 – 10, in where else – Las Vegas, Nevada.
Consumer Electronics Show – The Global Stage for Innovation
CES is the world’s gathering place for all those who thrive on the business of consumer technologies. It has served as the proving ground for innovators and breakthrough technologies for 50 years — the global stage where next-generation innovations are introduced to the marketplace. Continue reading