ADAS advantages for Fleet Management

ADAS (Advanced Driver Assistance System) collects and analyzes various data from the car surrounding environment to provide a driver with insightful help in critical road situations. In practice, ADAS functionality is enabled by a combination of software, hardware, various sensors, and embedded equipment.

ADAS includes the following interconnected components:

• software and communication protocols.
• sensor networks: application of multisensory platforms and traffic sensor networks.
• proprioceptive sensors: detect and respond to a dangerous situation by analyzing the driver and vehicle behavior;
• exteroceptive sensors (radar, LIDAR, ultrasonic, infrared and various vision sensors): respond on an earlier stage and predict possible dangers;

ADAS may warn a driver by sound signal, indication, or vibration. This is so-called passive control. Control also can be active: the system could stop a car, automatically prevent an unintended lane departure, etc.

Some key ADAS features include:

• Lane Assist (LA)
• Crash Warning System (CWS)
• Blind Spot Detection (BSD)
• Adaptive Cruise Control (ACC)
• Smart Park Assist (SPA)
• Cross-Traffic Alert (CTA)
• Automatic Emergency Braking (AEB)
• Traffic Jam Assist (TJA)
• Another custom / advanced options

Efficient ADAS applications must be able to sense, analyze the data, and act upon that data accordingly. After the sensor data is compiled, the system must decide how to react to the obtained data: by braking, steering, or accelerating. All of this processing should happen in real-time, almost instantaneously.

In addition to advanced sensors, a new class of high-performance systems-on-chip (SoC) is required to rapidly process and bind together obtained sensor data. An example of such ADAS SoC architecture by cadence is shown in the figure below.

ADAS SoCs allow vehicles to effectively scan the surrounding space, but entails related questions such as chip area, power consumption, and performance.

Even though, progress in this field is really intense. For example, Ambarella recently announced CV22FS and CV2FS automotive camera SoCs for ADAS.

Both chips target forward-facing monocular and stereovision ADAS cameras, computer vision, and higher levels of autonomy. As well, both featuring extremely low power consumption and potentially could be used in electronic mirrors with blind-spot detection (BSD), interior driver/cabin monitoring cameras, and around view monitors (AVM) with parking assist.

ADAS already providing a range of benefits to driver and vehicle safety. Modern sensors and systems enable the promise of so-called L5 Autonomous vehicle — self-driving where even the steering wheel is not necessary. L5 technology currently a subject of intense debates and development.

ADAS: advancing Fleet Management

ADAS systems could be fruitfully integrated with telematics platforms. Such a symbiotic system could become a crucial fleet owner ally, helping to Avoid crashes, control, and train employees, improve safety, and reduce fleet costs.

Thus, ADAS can be used not only for enhancing road safety and avoiding traffic accidents but also as a means of developing better driver control by analyzing types and frequency of violations made by a particular driver.

By receiving extensive information on each driver’s violations, companies will be able to сonsistently work towards improving their employee’s driving behavior and will get a more accurate assessment tool.

Original publication: https://talks.navixy.com/reviews/adas-technology-in-fleet-management