The Technology

We care to give for everyone

The Technology

We care to give for everyone

 

 

Technology

Automotive Radar

In ADAS (Advanced Driver Assistance Systems), automotive radar is one of the key sensors for collision avoidance systems. Radar detects obstacles, and complements vision based camera systems. The radar generally used is FMCW radar (Frequency Modulated Continuous Wave) , which uses Radio waves at a certain frequency (Example: 77GHz) to detect objects around the vehicle. Radar offers robust detection, velocity & angle measurement of surrounding obstacles even in challenging visibility conditions like rain, fog, snow & night.

We use automotive radar technology to address difficulties of drivers while in blind spot and forward collision scenarios. Automotive radar sensors are usually mounted behind the rear and front bumper of the vehicle. Our automotive radar sensors operate in the de-licensed frequency band in India (76-77 GHz) and the total power is less than 37 dBm (or 5 Watts). Our algorithms sense upcoming collisions and the system triggers an alert the driver through audio and visual (LED light) signals.

Our Expertise:

  • System architecture definition (Blind spot & Forward collision radar)
  • Detection, Tracking and alerts algorithm development
  • CAN communication with Car
  • Wireless Planning Commission (ETA approval for 76-77 GHz)
  • Radio Frequency Testing
  • System installation & service

Automotive Camera

In ADAS (Advanced Driver Assistance Systems), automotive camera is one of the key sensors, commonly used in applications such as BSD, Surround-view, Park assists, Lane departure warning etc. Automotive camera is classified broadly into two types, namely Monocular and Stereo cameras. The image feed from these cameras if given as input to image recognition processors. The processors then trigger certain functions like warnings or collision avoidance control in autonomous applications.These automotive cameras are usually mounted near the rear number plate, Outer view rear mirrors & inside front windshield. 

Monocular cameras: These are everyday camera with their primary application being monitoring. The computing processor in the background can identify lanes, pedestrians, many traffic signs and other vehicles in the path of the car with good accuracy. The advantage of monocular cameras is they are cost-effective, and can do many functions reasonably well. However major disadvantage is object detection is not robust and reliable in computing the 3-D view of the world.

Stereo cameras: These cameras meet the limitations of Monocular cameras by capturing 3-D depth information of the surroundings and facilitates in complete mapping of surroundings for higher levels of Autonomous applications. Stereo cameras can differentiate objects of different size, shapes and visual features. With better performance compared to monocular cameras, also comes a challenge in terms of image recognition/procession algorithm development and need of high-performance processors.

Our Expertise:

  • System architecture definition
  • Detection, Tracking and alerts algorithm development
  • 360 degree around view Geometric & Photometric alignment  algorithms
  • System installation & service