Automatic Rollover Prediction

Automatic rollover prediction identifies unstable terrain and ground angles that are difficult to observe from a vehicle or in poor visibility to help reduce fatalities, damage, and higher operating costs.

Motor vehicle mishaps, including rollovers, are the leading cause of fatalities for on-duty soldiers. In a typical situation, a driver is operating a large, heavy vehicle in unknown terrain that can quickly change between pavement, dirt, mud, loose soil, and snow. Gradients change, and drivers often need to make quick decisions to find the fastest path to safety while being aware of on-path obstacles and threats.

Using a passive 3D camera and machine learning algorithms, the plug-in solution provides real-time terrain data that visually alerts the driver on changing soil conditions, gradients, and obstacles. The commander and driver can choose the best routes while on reconnaissance and map the safest paths for later combat missions.

More advanced systems can integrate hyperspectral imaging capabilities, which provide insight into areas beyond what the human eye can see. Hyperspectral imaging can detect changes in soil to highlight potential threats and distinguish between organic and non-organic materials, such as foliage and camouflage.

With Pleora’s plug-in approach to AI, users can train systems on their own unique data and requirements. AI is particularly well-suited to locate, identify, and classify objects in moving scenes to decrease sense to response time for drivers and crew commanders. Pleora’s drag-and-drop AI development platform provides a straightforward approach to developing custom algorithms, with off-the-shelf sample frameworks that can be trained using your unique data to speed development and deployment. Plug-ins are optimized for Pleora’s RuggedCONNECT Smart Video Switcher and flexible for other processing choices.