Camera Sensors

…enablers for environment perception and smart driving assistance

Lane-, sign and traffic-light-recognition and unmatched strenghts in object classification make cameras a key element of environment perception.

Image processing algorithms based on artificial intelligence such as neural networks enabling more and more fully automated driving tasks and can be adapted to several applications.

Cameras & ADAS

Advanced Driver Assistance Systems (ADAS) are revolutionizing the driving experience by providing drivers with critical safety features that can help prevent accidents. One of the most important components of ADAS technology is camera sensors. Cameras are essential in providing real-time data for environment perception and safety.
Lane detection, sign and traffic-light recognition are some of the key features that cameras offer to assist drivers on the road. With the help of camera-based ADAS systems, drivers can receive alerts when they are veering off the lane or about to run a red light. This feature can significantly reduce accidents caused by human error, which is one of the leading causes of accidents.
Moreover, cameras offer unmatched strengths in object classification that make them a vital element in environment perception. AI-based image processing algorithms, such as neural networks, highly outperform the human eye in detecting and analyzing objects such as other vehicles, pedestrians, and obstacles. This enables camera-based ADAS systems to provide drivers with alerts and assistance in real-time, helping them to make better decisions and avoid accidents.

Multi Function Camera (MFC)

Continental’s latest multi-function front camera is part of a modular, scalable and connected advanced driver assistance system (ADAS) that provides L2+ and advanced safety features.
The camera has excellent night vision, high image resolution (1,7 Mpix) and a wide field of view (110°x70°), allowing for early detection of cross-traffic objects.
It also features technologies like machine learning and neural networks that can be adapted to non-automotive scenarios for better scene understanding.

Rear View System (RVS)

The Rear View System camera is a smart sensor increasing the field of view for the driver, detects additional information for fusion with other parking systems and supports also trailer functions.
A scalable camera concept offers from viewing only level up to active steering and break, support different setups.

Automotive Cameras (SVC/FSC)

According to the development of centralized architectures with ECU/HPC Continental offers a range of automotive cameras, for various use-cases including camera belt system.

Two models of cameras are available :
  • Surround-view camera (SVC) with fisheye optics, short range, Ethernet or LVDS communication and adaptable mounting position. It provides a complete 360° view around the entire vehicle; this camera system delivers a wide range of benefits in multiple everyday scenarios.
  • Far-range camera (FSC) with long range performances, LVDS communication to be used for cruising and safety applications.
SVC and FSC cameras are compatible with CES development kit for rapid prototyping and sensor evaluation on multiple applications (automotive, non-automotive such as off-highway, on air).. Camera development kit can support scalable activities such as driver development, integration, visualization.


Yannick Frisoni

Senior Business Development Manager
Driver Assistance & Autonomous Driving Segment

Tel: +33 (0)6 1895 6102