To determine which classifiers would be best used to indicate one car following another, we need more context about what CL:1, CL:2, CL:3, and CL:C represent. However, a general approach to relevant classifiers could be:
- CL:1 and CL:2: This pair might suggest two different types of classifiers that can detect the distance/speed of cars.
- CL:1 and CL:1: This could imply a redundancy, using the same classifier twice to ensure consistency in detection.
- CL:3 and CL:3: Similar to the previous, but potentially related to a different advanced technology or model type.
- CL:C and CL:C: This might relate to a specific type of classification, possibly using a common feature associated with following behavior.
If the classifiers are designed to analyze patterns, such as speed differentials, distance between vehicles, or other driving parameters, the best choice would generally depend on which types of data they process most effectively.
If you're looking for definitive classifiers to indicate one car following another, typically classifiers that analyze distance, speed, and relative positions (like CL:1 and CL:2) would be optimal. If further context permits, select those that seem to better analyze the specific features of vehicle movement.
If I had to choose based on the assumptions, CL:1 and CL:2 could potentially indicate a good combination for detecting following behavior. However, please provide more details on what each classifier represents for a more accurate assessment.