Meanings of those words are very different and it is very important to distinguish them:
. HAZARD indicates presence of POTENTIAL DANGER: if behind a door there are toxic materials, you write “HAZARD” on the door. But if the operator who opens the door has the appropriate helmet, he/she can do so at no RISK.
. CRITICALITY indicates a measurable level of DANGER. During a road accident, CRITICALITY is measured by “time to collision”, “probability of interception of trajectories”, etc.
. RISK indicates the absence of caution: if you put a glass near the edge of the table, you take a RISK. In this case HAZARD is the edge of the table. If the glass falls, at every moment you can measure CRITICALITY of the situation. If you have good reflexes, you can catch the glass. This is what AEB does for vehicles (ADAS).
If you want to avoid breaking the glass without using reflexes, you put the glass away from the edge. In road safety, it’s the same, and NEXYAD has developed a real-time embedded software tool that measures “how far we are from the edge”.
Applications are: alert driver, or act automatically on the driving behavior of the vehicle (ACC, Autonomous Driving).
“Smart car sensors can predict danger”
“A start-up based in Dubai and also Detroit is amongst those examining innovative modern technology options that can bring those numbers down.
Derq is creating systems to much better comprehend where danger places are. The firm makes use of a mix of sensors on roadways, expert system, and also computer systems in vehicles to inform vehicle drivers of possible risks. […]
Derq is not the only firm operating in this area. Humanising Autonomy has actually created a “pedestrian intent prediction platform” planned to make independent automobiles much safer;” Driveri is a system that examines business automobile chauffeurs’ to boost their efficiency, and also Nexyad produces software application that can be constructed right into vehicles to sharp vehicle drivers of possible crashes.”
Read entire article : https://theunionjournal.com/smart-car-sensors-can-predict-danger/
The Union Journal is an independent online financial news service.
Old telematics used to record driving behaviour data extracted from accelerometer: severe braking, cornering, etc.
At this old time, there were no other solution, but it was complex to use it :
. weak correlation between severe braking and accident were due to the fact that accident brings severe braking (and not the opposite)
. driver that doesn’t brake at all at STOP signs (700,000 accidents per year in the USA) were considered as “good drivers” (no severe braking).
Now there is a new technology, easy to integrate into telematics hardware (smartphone, telematics device, dashcam, etc.) that computes a real validated DRIVING-RISK, easy to use, and because it is computed in real time, it can trigger alerts for driver and then modify driving behaviour in due course, reducing accident rate by 20%. It is time to turn the page and contact us (we provide the technology, you can build a solution by integrating it into your system).
NEXYAD at CTS & CES 2020 in Las Vegas
– Nexyad CEO Editorial
– CTS 2020 (Consumer Telematics Show)
– CES 2020 (Consumer Electronics Show)
– Nexyad Quoted in a CNN Article
– Global Road Safety Platform by Nexyad
– Deep Learning Benchmark : Tensor Flow Vs Nexyad Internal Deep Learning Solution
Go to the Nexyad Newsletter # 29
“Derq is not the only company working in this space. Humanising Autonomy has developed a “pedestrian intent prediction platform” intended to make autonomous vehicles safer;” Driveri is a platform that analyzes commercial vehicle drivers’ to improve their performance, and Nexyad creates software that can be built into cars to alert drivers of potential accidents.”
Click to read entire article.
CES 2020 LVCC CENTRAL PLAZA PAVILLON FRENCH FAB
French Secretary of State to the Minister of Economy and Finance, Ms. Agnès Pannier-Runacher has visited the booth of the MOV’EO / Groupement ADAS. Business France hosted several French automotive companies, particularly in the fields of AI, communications, Advanced Driver Assistance Systems, Autonomous vehicles, etc.
Agnès PANNIER-RUNACHER talked with NEXYAD CEO Gérard YAHIAOUI
NEXYAD GIVING COURSES ON DEEP LEARNING AT MASTER LEVEL FOR STUDENTS OF INSA ROUEN (NORMANDY)
NEXYAD is part of the MOVEO Groupement ADAS that built a pedagocic chair with INSA ROUEN on Intelligent vehicles (autonomous Driving, ADAS, connected car).Nexyad CEO on front of INSA Rouen students
NEXYAD presented neural netwoks theory, practice, and methodology to students of MATHS option (Génie Mathématique) – Mentor of the chair is Pr Aziz BENSRHAIR.
With examples of real time detection for intelligent cars :
. ObstaNex : obstacle detection
. RoadNex : road fre space detection by semantic segmentation (use cas of real world old dirty roads)
The methodology “AGENDA” (Approche Générale des Etudes Neuronales pour le Développement d’Applications) was presented to help future engineer in conception and maintenance of hybrid solutions involving deep Learning among other methods. Key questions are explained and solutions proposed : how to VALIDATE such a solution ? for instance.