Analysis of key technologies required to move from ADAS to fully autonomous driving

With the rapid development of artificial intelligence and the automotive industry, autonomous driving technology has gradually become the focus of the industry. According to relevant institutions, the scale of China's intelligent driving market alone will exceed 100 billion yuan in 2019, reaching 113.7 billion yuan. In 2022, the scale of China's intelligent driving market will exceed 20 billion yuan, and it is predicted that in 2023, the scale of China's intelligent driving market will grow to about 241.5 billion yuan. Among these technologies, cameras and sensors enable future autonomous driving systems to have almost the same visual and perception capabilities as humans. Perception detection systems (such as RADAR and LIDAR) are the eyes of autonomous vehicles, capable of collecting environmental information and identifying objects and dangerous conditions. Intelligent navigation detection systems are based on inertial measurement units (IMUs) and innovative gyroscope technology, which can determine the location of the vehicle even in inaccessible areas.

The combination of different subsystems such as radar, lidar, inertial MEMS/IMU, camera and ultrasonic sensors builds the framework for the successful realization of autonomous driving and highly safe and reliable advanced driver assistance systems in the future. For 25 years, ADI has been one of the pioneers of high-quality perception systems in the transportation market and automotive system technology. With the grand Drive360 program and innovative sensor fusion concepts, ADI's goal is to provide industry-leading all-round solutions for first-class perception and navigation detection systems with excellent performance and accuracy to realize the next generation of advanced driver assistance systems (ADAS) and autonomous driving applications.

ADI Next Generation Perception Systems

Vehicle health monitoring

• Signal chain with high performance sensors

• Signal processing and analysis to collect data from current and future vehicle systems for early diagnosis and prognosis

Perception System

• ADI is focused on developing high-performance radar and lidar sensor solutions to enable advanced ADAS perception applications such as:

• Faster target detection

• Accurate object classification

• Identifying smaller targets

• Image stabilization

Navigation perception system

• One of the key sensing technologies for autonomous driving applications is inertial MEMS/IMU solutions.

• Accurate dynamic navigation assistance during GPS blackouts

• Navigation without communication infrastructure

• High-precision motion capture

• Precise positioning

Sensor Fusion for Autonomous Driving Systems

Single sensor systems give way to multi-sensor data stream fusion solutions to obtain the necessary environmental context information, enabling the car to make more reliable and reliable decisions autonomously. ADI can provide rapid prototyping and system testing to help you shorten development time, thereby helping OEMs and autonomous driving technology suppliers shorten time to market.

radar

• Object Detection

• Long and short range solutions

• 24GHz and 77/79 GHz Autonomous Driving Radar Solutions

• New: Imaging Radar Platform

LIDAR

• Object Detection

• Target Classification

• Long, medium and short range solutions

• Intelligent adaptive scanning

MEMS/IMU

• Emergency Navigation App

• Guidance Application

• Dynamics and stability applications

• Low noise, high stability sensor solution

• High signal resolution

Camera

• Object classification and judgment

• Long, medium and short range solutions

• Detect road signs, traffic lights and pedestrians under favorable conditions

• Improving distance estimation through stereo vision

ADAS Central Fusion Controller

• Central processing engine supporting multiple detection modalities

• Combine radar, lidar, and camera sensor inputs to provide a redundant solution for ADAS/autonomous driving

• Future-proof architecture for improved data utilization and power efficiency

• Real-time processing and analysis of detection modalities