Advanced Driver-Assistance System Solutions

Our ADAS technology uses a range of sensors, including cameras, radar, and lidar, to detect and respond to various driving situations. Our sophisticated software algorithms process sensor data to provide a safer and more efficient driving experience for the driver.

Lane departure warning

Designed to alert a driver when their vehicle begins to stray from its intended lane.

Forward collision warning

Designed to alert a driver when their vehicle is approaching another vehicle or object too quickly and a collision is likely to occur.

Automatic emergency braking

Designed to automatically apply the brakes if a collision is imminent and the driver fails to respond to a warning.

Adaptive cruise control

Designed to automatically maintain a safe distance from the vehicle in front while cruising on the highway

2D/3D Detection

2D and 3D detection are two different approaches used in advanced driver assistance systems (ADAS) to detect and interpret the environment around a vehicle.

Classification and Segmentation

Interpret and understand data by assigning a label or category to an object or image and separating an image or scene into different regions or segments that correspond to different objects or features

Technologies and Algorithms

Technologies and Algorithms

  • Sensor Fusion: Combining data from multiple sensors, such as cameras, lidar, radar, and ultrasonic sensors, to create a more comprehensive understanding of the environment.
  • Computer Vision: Computer vision algorithms can be used to detect and recognize objects, track their movements, and extract other useful information from the images.
  • Communication: Use communication protocols such as CAN, ROS and others to communicate with each other and with the vehicle's other systems.
  • Path planning, trajectory generation, and control of the vehicle's actuators.
  • Machine learning algorithms are used to train systems to recognize and understand patterns and relationships in data