22:21 01-02-2026

GM's active safety system warns drivers of hidden collision threats

General Motors has filed a patent for a system that warns drivers of impending collisions with objects outside their line of sight, using sensors and AR displays to prevent accidents.

General Motors has filed a patent application for a new active safety system designed to warn drivers of impending collisions with objects outside their direct line of sight. The document, numbered US 2026/0014932 A1, was filed in July 2024 and published in January 2026.

This system targets the most dangerous scenarios—intersections, lane changes, and maneuvers where another vehicle, motorcycle, or object approaches from the side or at an angle while remaining hidden from the driver's view. These situations currently account for a significant portion of accidents, whereas most driver-assistance systems only effectively respond to threats directly ahead.

According to the patent description, the system uses a suite of sensors, including cameras, radars, and lidars. After detecting an object, the algorithm determines whether it lies outside the driver's field of vision and calculates the trajectories of both moving parties. If the projection indicates a likelihood of intersecting paths, the system flags the situation as critical. In such cases, the driver receives a visual warning via a heads-up display.

The graphical cue is projected directly onto the windshield in an augmented reality format, pointing toward the direction of the approaching threat. This allows the driver to keep their eyes on the road without being distracted by the instrument panel or multimedia screen. GM emphasizes that this approach gives the driver extra fractions of a second to react—whether by braking or maneuvering—which could be the decisive factor in preventing a collision.

The core idea behind the system is to reveal a danger before a person is physically able to see it. Such technologies are making cars increasingly "perceptive," but they also raise questions about trust: the more a vehicle takes on predictive tasks, the more important it is for the driver to maintain concentration and situational awareness.