ADAS & AD

Advanced Driver Assistance Systems (ADAS) are continuously evolving to offer drivers a safer and more comfortable journey. These systems combine processing of different sensor modalities with real-time data processing for enhancing both driving and parking capabilities.

AI has a pivotal role in ADAS, since it is in the core of the vehicle’s perception of its environment. Traditional ADAS processors have suffered from lack of AI performance and/or from inadequate power consumption to meet automotive ADAS ECU requirements. Since the AI model landscape has changed significantly in recent years, many processors have also fallen short in their ability to run state-of-the-art Neural Networks (NNs), requiring alternative solutions.

The Hailo AI processors are designed for scalability and can support the demanding deep learning workloads that ADAS require. One small, low-power chip can process multiple video streams and multiple chips can work in tandem or cascade, all while maintaining industry-leading efficiency and scalability, high processing throughput and low latency. The solution’s flexibility allows running state-of-the-art Neural Networks including transformers, alongside the use of different types of sensor inputs, ranging in resolution and input size.​

Autonomous Driving (AD) is a technology that enables a vehicle to operate without direct human input. It refers to a vehicle’s ability to drive itself without human intervention, including steering, accelerating, and braking. The software and AI algorithms used in AD systems process data from multiple sensors and make decisions about how the vehicle should respond to its environment. This may include adjusting speed, changing lanes, avoiding obstacles, and more.

The higher the level of autonomy, the more complex and advanced algorithms are needed, and the more AI capacity is needed to analyze the huge amount of data from multiple sensors, and take safe and efficient driving or halting decisions in real-time. For this reason, the role of AI processors in autonomous driving is increasingly prominent.

While there is still much development and testing required before fully autonomous passenger vehicles can be available on the market, AD technology has the potential to revolutionize transportation by increasing safety, improving traffic flow, and significantly enhancing humanity’s productivity. This technology is making its way to a variety of markets such as robotics, heavy machinery, offroad vehicles, agriculture and more, in which Hailo is actively working with customers and partners to automate daily operations.