close
Vehicle Safety
Home / AI-ML / Automobile / Case Study

Vehicle safety is an important aspect of transportation. AI can help to enhance vehicle safety by using various systems and methods that can collect, analyze, and adapt to information from the environment. For example, AI can use sensors and actuators to control the idle speed and the air-fuel ratio of the engine, based on the feedback from a lambda sensor. AI can also use machine learning techniques to model and predict the behavior of other road users. AI can then use these models to plan and execute safe and efficient maneuvers By using AI, vehicle safety can be improved and accidents can be prevented.

Benefits
  • Interaction-based Trajectory Prediction for Collision Avoidance, 
  • Detection of unsafe driving patterns of a vehicle used to predict accidents 
Implementations
  • Smart sites – Due to high population, the governments are looking for more autonomous vehicles to avoid pollution and accidents 
  • Citizens – Who is looking for stress free and congestion free environment while commuting from one place to other