Collision Avoidance and Minimization Using an AI Model

Smart overview of the Invention

Human drivers often struggle to react effectively in emergency situations, typically resorting to braking without considering more strategic maneuvers. Advanced collision avoidance techniques are being developed using an artificial intelligence (AI) model designed to control vehicle acceleration, braking, and steering during critical moments. This technology aims to enhance safety on highways by reducing the number of collisions and minimizing injuries when accidents do occur.

Challenges in Current Driving Situations

Traffic accidents claim approximately 1.25 million lives annually, with human error accounting for 90% of these incidents. Common scenarios include sudden slowdowns in heavy traffic, where drivers may not react in time to avoid collisions, or side-encroachment situations during lane changes. Additionally, post-collision hazards pose significant risks as disoriented drivers become vulnerable to secondary accidents.

Limitations of Existing Systems

Current collision-avoidance technologies often rely on basic sensors that may not provide sufficient reaction time for following vehicles. These systems can inadvertently worsen situations by applying brakes too aggressively or failing to account for skilled drivers who could navigate emergencies better than automated systems. A one-size-fits-all approach does not cater to varying driver abilities and preferences.

Proposed AI-Driven Solutions

The new approach involves an AI model that processes data from vehicle sensors to predict and respond to potential collisions. The AI can generate a sequence of actions—such as steering, accelerating, or braking—tailored to the specific circumstances of an imminent collision. The system evaluates whether a collision is avoidable or unavoidable and adjusts its response accordingly.

Implementation and Benefits

By integrating this AI technology into vehicles, drivers can benefit from real-time hazard detection and automatic intervention when necessary. The system is designed not only to prevent collisions but also to minimize damage in unavoidable situations. Ultimately, this innovation aims to enhance road safety by leveraging advanced AI capabilities for better decision-making in critical driving scenarios.