Operating a Vehicle According to an Artificial Intelligence Model

Smart overview of the Invention

Vehicles can be operated using an artificial intelligence (AI) model embedded in an on-board processor. This model analyzes sensor data, including visible and infrared images of surrounding traffic, to assess potential collisions. It determines whether a collision is possible, imminent, and whether it can be avoided or mitigated through calculated actions like acceleration, braking, and steering.

Functionality of the AI Model

The AI model selects the most suitable sequence of actions from numerous calculated options to prevent a collision if possible. If a collision is unavoidable, the model aims to minimize harm by implementing the best strategy. It achieves this by actuating linkages connected to the vehicle's throttle, brakes, and steering mechanisms to execute the chosen actions effectively.

Addressing Traffic Hazards

Traffic accidents claim approximately 1.25 million lives annually worldwide, with human error accounting for 90% of these incidents. Common hazards include sudden slowdowns in heavy traffic and side-encroachment collisions during lane changes. The AI system is designed to recognize these hazards in real-time and respond appropriately to either avoid or lessen the impact of collisions.

Limitations of Existing Systems

Current collision-avoidance systems often rely on simple distance-sensing technologies that may not adequately account for varying driver skills or react effectively in all scenarios. These systems might take control away from skilled drivers at critical moments, leading to frustration and a potential loss of trust in automated systems. They lack adaptability and do not provide personalized intervention levels based on individual driver capabilities.

Innovative Features of the Proposed System

The proposed system incorporates non-transitory computer-readable media containing an AI model that enables autonomous vehicle operation. It utilizes sensor data to predict future positions of nearby vehicles and assess potential collisions. The system can execute a series of actions automatically, enhancing safety by adapting to dynamic driving conditions and providing early warnings about emerging hazards.