Intelligent and Predictive ACC with SafetyNex

how to make ACC automatically follow rules of the road (slightly slow down before an intersection, etc.) without long and complex development?

New developments are starting up everywhere to make ACCs smarter, which could, for example, automatically slow down slightly before an intersection, and then pick up the speed of initial cruise. The whole question is: when should the vehicle be made to slow down? crossing? turn ? school zone ? roundabout ? pedestrian zone ? pedestrian crossing? Traffic light ? stop sign ? give way ? etc.
And how to deal with the whole combination of these simple cases? (school located behind a bend with an intersection at left…).
And if we have to slow down, when? of how much ? with what speed profile?
Finally, to sum up, the idea is to make ACC follow the rules of the road so that it modulates vehicle speed exactly as a driver should do on license day.
The combination of cases is huge. NEXYAD provides an elegant, reliable, efficient and very simple solution to integrate into a vehicle, which resolves all the simple cases and all their combinations. The modification to be made to a regular  ACC system is minimal and formal proof of safety (SIL) is very simple to do.
Indeed, NEXYAD has carried out research and development in AI for more than 20 years on road safety. and now offers a real-time on-board software module called SafetyNex.
SafetyNex permanently monitors both driving behavior (speed, accel) and driving context (in particular complexity of the infrastructure, via the navigation map).

At every moment, SafetyNex detects any mismatch between driving behavior and driving context. Such a mismatch is interpreted as a lack of caution, and the degree of lack of caution is called “Driving risk”: this is the risk taken by the driver (human, human assisted by robots, or AD system).
The higher the risk, the greater the number of emergency situations encountered by the vehicle. Conversely, the lower the risk, the lower the number of emergencies statistically encountered.
Note : do not confuse the “driving risk” as defined above with criticality (probability of interpretation of trajectories, time to collision, etc.), the two concepts coexisting in road safety systems.
For a given driving context, the driving risk depends ONLY on the speed profile of the vehicle approaching a potential singularity of infratructure.
It then becomes clear that by regulating the speed we can keep the risk of driving below a maximum accepted value. SafetyNex is then used to define the setpoint speed value Vr (at each instant) which makes it possible to guarantee that we never exceed the maximum accepted.
On the other hand, any current ACC already defines a speed setpoint Vo.
By simply taking as the new speed setpoint the smaller of these two speeds, we obtain directly and without any further development, a vehicle that slows down before intersections (for example) with the “Good” speed profile which guarantees safe driving.
This simple, validated, efficient, and quick to integrate system is currently being integrated by OEMs with support by NEXYAD.

Contact us for more details.

NEXYAD Newsletter Automotive & Transportation #30 is Available

Artificial Intelligence and Road Safety

 

Headlines :

– Nexyad CEO Editorial

– Why do we develop real time hybrid Artificial Intelligence for road safety

– OTN and Nexyad join forces in a strategic partnership for active rail safety

– SafetyNex Integrator BRIGHTMILE unveils partnership with AXA Insurance

– RoadNex Off Road Drivable Surface detection

– Hazard, Criticality, and Risk in Road Safety ?

– Gathering Computer Vision Detection with Prediction and Risk Assessment: This is what we do!

– SafetyNex: ADAS for Road Safety Using Map

To read the NEXYAD Newsletter #30

SafetyNex ADAS for Road Safety using Map

Sometimes, accurate detection both by human perception and by sensors are not enough for road safety.
Nexyad has worked on some use cases for which classical ADAS can’t help.
So we have developed SafetyNex that reads and analyses the digital map (HERE, TOMTOM, OSM, etc.)
in front of the vehicle (4-5 seconds ahead) as a bird view to anticipate singularities of the road.
Then SafetyNex allows to vocally alert drivers when they approach these singularities
(curves, intersections, pedestrian crossing, etc…) in order, for them, to reduce speed and to lower risk of accident.   Of course, it is possible to equip vehicles with Adaptative Cruise Control (ACC) to reduce speed automatically before these singularities.

As a reminder, road safety studies show that if speed is reduced of 1mph to the right moment, risk of accident is lowered of 4% to 6%.
With SafetyNex alerts, drivers have time (at least 4 seconds) to reduce speed far more than 1mph.

See 2 use cases below :

Gathering Computer Vision Detection
with Prediction and Risk Assessment

Gathering Computer Vision Detection with Prediction and Risk Assessment: this is what we do!

Because most automotive engineers have no knowledge in Road Safety, they usually do not know that 75% of driving-risk come from a driving behaviour that is inadequate to infrastructure characteristics (geometry of curve, narrowness, pattern of intersection – angles, number of input and output lanes, functionality of infrastructure – pedestrian crossing, school zone, … -, road signs – traffic light, stop sign, …). So they focus on vehicle performance in passive safety (deformation of vehicle during a crash, safety belt, air bag, etc… and active safety, vehicle detection and reflexe : emergency braking (AEB).

NEXYAD do not build cars, but as software company, we worked for 20 years with road safety experts and road infrastructure experts on 8 major scientific programs to acquire this specific knowledge. This is why our minimum viable product for road safety can run onboard on a smartphone or any other device, and reduces accident rate by 25% with only a map, accelerometers, and GNSS.
This year we can add NEXYAD computer vision modules that bring other risk factors; ObstaNex which brings interdistance and presence of vulrenables, RoadNex which brings size of drivable surface, and VisiNex which detects lacks of visibility.

This brings a complete onboard road safety platform: under deployment for telematics (fleets and insurers), ADAS, and Autonomous Vehicle. Available for cars, motorcycles, buses, trucks, trams, and soon for bicycles and other vulnerable mobility systems.

It is time to join modernity, and integrate our best technology into your valuable solutions, available everywhere…

 

 

HAZARD, CRITICALITY, and RISK in Road Safety

Meanings of those words are very different and it is very important to distinguish them:

. HAZARD indicates presence of POTENTIAL DANGER: a water source is maybe pollute, you put a “HAZARD” sign on it. If after analysis you don’t find any bad molecule, you can drink the glass of water.

. CRITICALITY indicates a measurable level of DANGER. During a critical situation, CRITICALITY is measured by “time to collision”, “probability of interception of trajectories”, etc… in road safety.

. 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” in order to stay in the safe zone.

Applications are: alert driver, or act automatically on the driving behavior of the vehicle (ACC, Autonomous Driving).

OTN and Nexyad join forces in a strategic partnership for active rail safety.

The companies OTN and Nexyad join forces in a strategic partnership for active rail safety.

Saint Germain en Laye, April 20, 2020 – The company OTN, which develops safety products in the rail sector among others, announces the signature of a partnership with the company Nexyad, specializing in on-board risk assessment of accident, with the aim of developing solutions for predicting and preventing collision risks.

This partnership will significantly improve the performance of current detection systems, by offering a risk detection horizon adapted to the speed of traffic on trams, metros and trains.

This technological contribution will allow rapid migration from simple “detection” to “prediction”, thereby improving the overall safety of users and the environment close to the traffic lanes.

The combination of the skills and experience of our two companies will allow us to quickly develop a high-performance analysis system (images, signals, data) to identify the risks of railway equipment in traffic. After six months spent evaluating the work necessary for the development and adaptation of the algorithms, initially intended for road safety, we are happy that this partnership results in the development of prototypes which we will be able to test in real situation in the short term.

 

OTN, a company based in Saône et Loire, France, manufactures, designs and markets electrical and electromechanical equipment intended for various advanced markets, including railway.

Nexyad, a company based near Paris, markets a global road safety platform for telematics, Advanced Driver Assistance Systems, and Autonomous Vehicles, currently adapted to railway focus.