ADAS L3 Needs Very Complex E/E Architecture and Advance Computing?

Automotive market growing faster day by day!! To be Specific., emerging market customers started looking for the solutions something above ADAS L2 features!!! Some of the current technological trends goes like ADAS L2.1, L2.2, ..and bit hesitant to step inside or to say we have the simplified solutions for L3!!! ?

Despite certain obstructs that have delayed the broad implementation of autonomous vehicles, leading mobility stakeholders remain committed to ADAS technology development.

And its potential to transform the future of transportation, from reducing the number of on-road accidents to increasing transportation logistics and supply chain efficiencies.?

When we talk about ADAS L3., which will be the “Conditional Automation” and this needs “Environmental Detection” capabilities and can make informed decisions for themselves, such as accelerating past a slow-moving vehicle.?

The vehicle can manage most driving tasks under certain conditions, but the driver must be prepared to take over when alerted by the system within a specific timeframe. The driver can disengage from actively monitoring the environment in limited scenarios.?

But this still require human override!! The driver must remain alert and ready to take control if the system is unable to execute the task.?

Over 90% of the innovation in these areas is directly related to Electronics, Semiconductors, and the increasingly sophisticated software solutions enabled by the electronics and processing capability.

?Currently we have so many options available for these E/E architectures!! Simply putting all together and deriving “Super-Set” will become very complex solutions!!! The one most important point is that., the currently available industry standard that allows system designers to select the appropriate hardware and software components!!!

Core activities are often described as “Sensing,” “Thinking,” and “Acting.” Sensing still depends heavily on vision and LiDAR, though Radar has become an important additional component.

There is now some debate in the industry over if it will be possible to replace LiDAR entirely with a lower-cost multi-camera multi-Radar system!! ?Or alternatively if the expected cost reductions in LiDAR that will come about from the introduction of solid-state technology!!

The associated improved esthetics of not having the radar sensors embedded in the front of the car, will make cameras and Radar systems less important.

Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure communication (together, V2X) can provide additional sensory input to the self-driving vehicle.

Thinking and acting functions are also continuing to develop, requiring ever more powerful processing capability (typically massively parallel processors). To simplify and reduce the processing complexity., we have to relook our decades old system components and layouts!!!! ??

The growth of Level 3 ADAS technologies over the previous four years, as well as consumer demand for them, has been deemed to warrant continued investment in the evolution of these systems for passenger vehicles.?

In light of these trends, we anticipate that additional Level 2 and 3 ADAS technologies will continue to be introduced in passenger vehicles at an increasing level over the next five years, while ADAS L4 technology capabilities are more likely to be a focus for commercial trucks.

Key Challenges: Transition Speed - Driver Intervene (System to Manual Mode), AEC Qx, Functional Safety, Cyber Security & Reliability Aspects!!!