How collision mitigation system works in Tata trucks?

Tata Motors, India's largest commercial vehicle manufacturer, is moving ahead with the development of safety-enhancing Advanced Driver Assistance Systems solutions for deployment on its medium and heavy-duty commercial vehicles.

Tata Motors has released a series of new announcements showcasing the new Prima Facelift capabilities. One of which is a collision mitigation system. In the video, we can see a Tata Prima LX driver and helper having a conversation with each other. They both have their attention diverted and are about to crash into a stopped truck.

In the first month of 2023, 31,847 units were sold and it captured nearly 40% of the commercial vehicle market share.

The ADAS-enabled Collision Mitigation System prevents this by continually scanning the road ahead and applying the brakes at its discretion without any input from the driver.

Key advantages of the Collision Mitigation System include:

• Warns of moving, stopping and stationary vehicles ahead even in poor visibility conditions.

• Active braking on moving and stopping vehicles when the system detects an impending collision.

• Helps mitigate or avoid impending rear-end collisions to enhance safety.

• Helps to avoid fatalities, injuries and accident-related costs.

• High bandwidth enables accuracy in object detection.

• Improves driver effectiveness across all levels of experience.

• Optimizes vehicle uptime with less maintenance and repair requirements.

How does ADAS work?

Cars are the foundation for the next generation of connected mobile devices, with rapid advances in autonomous vehicles. Autonomous application solutions are divided into multiple chips, called systems on a chip (SoC). These chips connect sensors to actuators through interfaces and high-performance electronic controller units (ECUs).

Autonomous cars use a variety of these apps and technologies to gain 360-degree vision, both up close (in the immediate vicinity of the vehicle) and from afar. That means hardware designs are using more advanced compute nodes to meet ever-higher performance targets while reducing power and space demands.

The ADAS system architecture consists of a set of sensors, interfaces, and a powerful computer processor that integrates all the data and makes decisions in real-time.

These sensors constantly scan the environment around the vehicle and feed this information to onboard ADAS computers to prioritize and take action. Today, they are saving lives by preventing accidents that would have occurred without ADAS. One day, these technologies will lead to fully autonomous vehicles.

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