Oryx Vision Eyes Autonomous Cars

Develops Highly-Accurate Lidar for Self-Driving Vehicles


Lidar is a 3D laser scanning technology originally developed in the 1960s for the military to detect submarines. A lidar system projects laser beam pulses onto a rotating mirror and then collects the light reflected to map the distance between objects in the surrounding area and produce a detailed 3D image. Using the speed of light as a baseline, the system detects the time of flight of the light pulses to gauge how distant objects are. Most lidar systems use light in near-infrared and UV spectrums.

Over time, many technologies tend to trickle down from addressing specific, high-grade enterprise needs to targeting consumers, offering considerably lower prices and different implementations than their predecessors. Lidar has gone from being used in submarine detection, to having a role in the development of autonomous vehicles, an area that will need highly-accurate and cost-effective versions of the technology. Although lidar will be a principal enabler of self-driving cars, other technical approaches are also in the works.

Oryx Vision is one company working to help bring this vision to life. The Israeli innovator of lidar solutions promises what it calls nano-antenna sensors, which perform 50 times better and cost much less than lidar technologies currently on the market. Founded in 2009, the start-up develops solid-state, depth-vision solutions for self-driving cars. Its new sensor uses long-wave infrared lasers to track objects on the roadway. The company claims the technology can see through fog and direct sunlight, environments that other lidar systems currently struggle with. Its microscopic antennas treat the reflected signal as a wave rather than a particle, allowing the sensor to accurately calculate the speed of nearby objects and offer great detail about what it sees.

The company received a boost this week, raising $50 million in a second funding round led by Third Point Ventures and Walden Riverwood Ventures. As lidar is a major way to provide eyesight for self-driving cars, the speed at which the technology develops and its price falls will be a factor in determining how quickly autonomous driving becomes mainstream. Many companies have been racing to innovate in this area given the mass potential of the market. The appropriate lidar systems will need to be able to process detailed imagery at high speeds through heavy traffic and poor weather conditions.

Mega companies such Google and Uber, along with most car-makers, have been looking to perfect the technology, which will, in theory, create an accident-free environment. The first company to do so will have bragging rights as well as a significant revenue stream from licensing intellectual property rights.

We believe that autonomous cars with no human driver will remain a research project until at least 2025 (CCS Insight Predictions for 2017 and Beyond). It's a matter of legislation, regulation, safety and consumer acceptance all lining up. It will take a level of trust in the technology to alter transport behaviours. This will be a big shift.

For now we're excited to see each new step forward. Companies such as Oryx Vision will play crucial roles in driving the concept of autonomous vehicles.

This entry was posted on August 11th, 2017 and is filed under Services. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

Posted By Raghu Gopal On August 11th, 2017


Comments
(There are no comments yet)
Leave a Comment

Hot News

Team Tweets

CCS Insight
Nokia 8 from @HMDGlobal packs some clever features into a nice design. But will they be enough?… https://t.co/D9yqF6bNUT
Follow CCS Insight
Shaun Collins
No login req'd! @CCSInsight analysis of the launch of the @nokiamobile 8. Nokia now back in the high tier.… https://t.co/fljj61y1wT
Follow Shaun
Ben Wood
Fancy being part of a documentary where you swap homes, budgets and lifestyles? Here is your chance... https://t.co/4YNl6XSPVt
Follow Ben
Martin Garner
@Qualcomm acquires AI startup @ScyferNL - will boost its cred in AI. https://t.co/i66rE18uGY. Positioning itself fo… https://t.co/NUbgS8nhOk
Follow Martin
Geoff Blaber
Amazon doubling down on developer momentum with Alexa Voice Service Device SDK. Google has much catching up to do https://t.co/4zXq4G6v5V
Follow Geoff
Marina Koytcheva
@nationalrailenq You think you are excused for the inconvenience? Is the signaling system ever going to get fixed??? https://t.co/wRlCbQZPuN
Follow Marina
Nicholas McQuire
Top move> #Box to integrate #GoogleCloud Vision image recognition API for image-based workflows #MachineLearning #AI https://t.co/tcDYRKfC3F
Follow Nicholas
Paolo Pescatore
Check out these cracking mobile plans from Plusnet. Must be among the lowest in the UK https://t.co/3fwlzaJzeu
Follow Paolo
Kester Mann
RT @shauncollins: Nokia launches the 8. It's flagship device with @ZEISSLenses, Dual Sight and Ozo Audio. Lovely device but will need posit…
Follow Kester
George Jijiashvili
RT @richardlai: This is pretty crazy: @Insta360's next camera may shoot orbiting video while stationary https://t.co/POgGXBp0yH https://t.c…
Follow George
Katie Taylor
RT @Medgadget: Data Mined Insurance Records Point to Interesting Disease Relationships | https://t.co/FP3BHTRAnS
Follow Katie
Tony Worthington
Evolution: Microtel, Mercury One-2-One, Orange, TMobile, EE, BT. Have I missed anything out?
Follow Tony

Recent Blog Posts

Blog Post
Nokia 8 Enters the High-End Fray New Nokia-Branded Smartphone Marks Milestone for HMD Global ... Read more
Blog Post
Zap&Go Your Device New Method Enables Battery Charging in Seconds It feels i... Read more
Blog Post
Banking on a New Direction The Rise of the Mobile Financial Services Provider If you... Read more
More blog

Latest Company News

Blog Post
Halcyon Days Ahead for Indian Telecom Market CCS Insight Predicts Consolidation in India to Just Four Mob... Read more
More news