17 février 2019

Waymo and Tesla, Same Goals Different Paths to Level 5

Waymo and Tesla, Same Goals Different Paths to Level 5 Waymo and Tesla both have the same goal toward fully L5 driverless self driving cars, but they differ in approach from a design and engineering philosophy. Elon Musk relies on computer vision systems that use a combination of ultrasonic, radar and camera devices. Waymo on the other hand use a very fundamental device among driverless car makers and that is LiDAR. Elon believes Tesla can rely on it’s sophisticated hardware with AI software while Waymo implements LiDAR at the... [Lire la suite]
Posté par NEXYAD à 00:17 - - Commentaires [0] - Permalien [#]
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11 février 2019

NEW LEAD TO TRANSFORM AUTONOMOUS DRIVING LEVEL 3 TO LEVEL 5 AUTONOMY

NEW LEAD TO TRANSFORM AUTONOMOUS DRIVING LEVEL 3 TO LEVEL 5 AUTONOMY Car manufacturers like WAYMO and TESLA has been developing high value Autonomous (AD) systems that are said to be level 3. AD systems are complex architectures in a feedforward chain : . perception. Sensor fusion. Situation understanding and holding. Decision making. Actuators Such a feedforward chain is validated on crossings of use cases recorded in huge databases.The problem is that it is not possible to validate a feedforward chain on a database and know... [Lire la suite]
04 février 2019

Computing onboard, in real time, the risk that the driver is currently taking

Computing onboard, in real time, the risk that the driver is currently taking There is a software component called SafetyNex that can compute onboard (and not on the cloud), in real time (and not on a back office server one week after), at each moment (i.e. 20 times per second), the risk that driver is currently taking. This driving risk is computed with anticipation. The software component is called SafetyNex, proposed by the company NEXYAD (We Save Lives). If driver is a human being, it has been shown that alerting driver a few... [Lire la suite]
27 janvier 2019

DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLES-STATE OF THE ART

DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLES-STATE OF THE ART Reinforcement learning is considered to be one of the strongest paradigms in AI domain, which can be applied to teach machines how to behave through environment interaction. Recently the concept of deep reinforcement learning (DRL) was introduced and was tested with success in games like Atari 2600 or Go, proving the capability to learn a good representation of the environment. In this moment there are few implementations of DRL in the autonomous driving field. In... [Lire la suite]
Posté par NEXYAD à 00:39 - - Commentaires [0] - Permalien [#]
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24 janvier 2019

Tesla CEO Elon Musk: ‘self-driving will encompass all modes of driving by the end of 2019’

Tesla CEO Elon Musk: ‘self-driving will encompass all modes of driving by the end of 2019’ lon Musk has often updated his timeline for fully self-driving vehicles and today, he updated again when talking about the advent of artificial intelligence. Tesla’s CEO now says that he expects the technology will start to be widespread in any aspect of driving as soon as within “the next 18 months.” Musk’s timeline for the advent of self-driving technology is especially interesting to many Tesla owners who bought the automaker’s recent... [Lire la suite]
Posté par NEXYAD à 00:42 - - Commentaires [0] - Permalien [#]
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20 janvier 2019

C-V2X module handles telematics, connectivity for next-gen autonomous driving

C-V2X module handles telematics, connectivity for next-gen autonomous driving Quectel Wireless Solutions (Quectel) announced the global launch of the automotive grade C-V2X module AG15, which features the Qualcomm 9150 C-V2X chipset solution from Qualcomm Technologies, a subsidiary of Qualcomm Incorporated. The module is now sampling to the automotive industry for the development of commercial C-V2X products. The AG15 C-V2X module is manufactured in accordance to IATF 16949:2016 quality management system standard for the... [Lire la suite]
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15 janvier 2019

Sensor Fusion for Self-Driving Cars

Sensor Fusion for Self-Driving Cars There are essentially three main system functions of self-driving cars: (1) car sensor-related system functions, (2) car processing related functions that we tend to consider the AI of the self-driving car, and (3) car control related functions that operate the accelerator, the brakes, the steering wheel, etc. I am going to discuss today mainly the sensors and an important aspect of sensory data usage that is called sensor fusion. That being said, it is crucial to realize that all three of these... [Lire la suite]
Posté par NEXYAD à 00:16 - - Commentaires [0] - Permalien [#]
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05 janvier 2019

The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers

The Self-Driving Car Timeline – Predictions from the Top 11 Global Automakers A company by company examination of the top car makers public investment and statements by their top executives makes it clear that most car companies are betting that artificial intelligence utalized in self-driving will be inevitable, and they’re all jumping in with investment and initiatives. With billions of dollars in R&D and acquisitions, there’s plenty of fodder for media hype in machine learning, but there haven’t been many... [Lire la suite]
Posté par NEXYAD à 00:38 - - Commentaires [0] - Permalien [#]
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04 janvier 2019

6 Key Connectivity Requirements of Autonomous Driving

6 Key Connectivity Requirements of Autonomous Driving While the future of the automotive industry is still unwritten, here is what we know: Industry leaders will need to master connectivity to deliver the V2X (vehicle-to-everything) capabilities fully autonomous driving promises. Autonomous driving is both an audacious visionary goal and a highly achievable feat of technical engineering. The race to launching the industry’s first fully autonomous car is accelerating, as technology companies like Apple and Waymo battle car companies... [Lire la suite]
02 janvier 2019

Samsung revs up its autonomous driving efforts

Samsung revs up its autonomous driving efforts Samsung Electronics has announced a new $300 million investment fund dedicated to the automotive industry as well as a strategic partnership with TTTech. This move echoes a similar one from Ericsson last week and seems to be part of a broader push by technology companies to grab as big a piece as possible of the nascent smart/connected/autonomous vehicle market. Samsung, of course, dropped $8 billion less than a year ago on Harman, which has a big in-car... [Lire la suite]
Posté par NEXYAD à 00:47 - - Commentaires [0] - Permalien [#]
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