At Delta Mobile, we are dedicated to developing advanced technology platforms. Our research and development efforts are focused on bringing our customers intelligent products in areas such as:

  • Advanced Radar, Vision, and Multi-Sensor Fusion
  • Artificial Intelligence and Machine Learning
  • Software as a Service
  • Mobile Technology and 5G

Imaging Radar

 

Below is a rating of the most common sensor technologies based on five major criteria.

Weather

Difficult weather conditions can become one of the largest challenges for sensor accuracy. Low light or direct sunlight, heavy rain, snow, dirt, or fog can render cameras nearly unusable while radar and ultrasonic maintain high performance.

Range

Radar and LiDAR have the longest detection distance, ranging from a few feet to several hundred feet in some cases. Cameras have a shorter range than radar and LiDAR, but still offer a longer range than ultrasonic sensors.

Resolution

The technology with the highest image resolution is cameras since they provide users with a direct view of what the sensor detects. However, recent advances in radar and LiDAR technology have led to more affordable sensors with better resolution.

Object Detection

Like resolution, cameras are also the leading technology when it comes to object detection. While cameras offer the clearest views of objects, radar, LiDAR, and ultrasonic are all effective.

Affordability

When it comes to affordability, radar, camera, and ultrasonic sensors all offer solutions at costs suitable for the majority of use cases. LiDAR, however, is currently cost-prohibitive for most applications.

Additional Considerations

When determining which technology is best for a specific use case, there are more factors that play into the final decision. For example, factors including but not limited to the size of each sensor, how important it is to be able to conceal sensors in a vehicle’s design, and the number of sensors required to meet the project’s desired coverage area are dependent on the project and have to be determined on a case-by-case basis.