What is the most effective way to minimize target selectivity problems?

The most effective way to minimize target selectivity problems is by utilizing multiple detection devices. This strategy enhances the reliability of detection and identification of targets. When multiple devices, such as radar and lidar, are employed, they can provide overlapping data and corroborate findings, thereby reducing the chance of false readings or missing a target altogether.

Using different types of detection technology can help cross-verify the presence and speed of vehicles in an environment with multiple potential targets. Additionally, multiple devices can operate under varying conditions—ensuring detection efficacy in diverse scenarios like adverse weather or heavy traffic.

In contrast, reliance on visual confirmation alone can be subjective and prone to human error, while estimating vehicle speeds may not provide a complete picture of the situation. Increasing the distance of measurement could actually complicate the selectivity issue, as targets that are further away may not be as accurately detected due to factors like radar/Lidar beam divergence or environmental interferences.