MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062265 A) filed by B Jyothi; and Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, on May 16, for 'lane change assist system using blind spot monitoring and automatic emergency braking system for autonomous vehicles.'
Inventor(s) include B. Jyothi; Aryan Yalavarthi; P. Bhavana; Siva Rama Krishna Bobbili; Pisini Visweswararao; and K. Sarada.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The Lane Change Assist System (LCAS) is used in the Autonomous Vehicles to properly and efficiently change the Lanes while reducing the risk of accidental collisions in cases such as Side - Swipe Collisions, Blind Spot Lane Departure Accidents, in certain cases of accidental collisions that are happening in India. This system helps the driver as well as the Autonomous vehicle to overcome the Accidents and predict them before they could eventually happen. The Lane Change Systems that are present in the Autonomous Vehicles nowadays, according to the research publications we have noticed that most of the documents we went through were lacking Blind Spot Detection while some documents that had Blind Spot Monitoring were lacking Frontal Vehicle based Detection this caused the autonomous vehicle to crash into the vehicle present in front of it. To overcome these problem's, we have decided to implement a lane change / lane departure assist system using Blind Spot Monitoring and Automatic Emergency Braking System accordingly. We have implemented the standalone features i.e. (Blind Spot Monitoring (BSM) and Automatic Emergency Braking (AEB)) together to research and create an efficient model of lane change assist system. Our system overcomes the problems faced such as blind spot collisions while changing lanes and uses automatic emergency braking to detect the vehicles present in front of the autonomous vehicle. This helps the vehicle to efficiently dodge the obstacles and change lanes without causing any issues to the other vehicles while maintaining the driver's comfort as well as the passengers of the autonomous vehicle. The results of our software model showcase the simulation of how the hardware prototype we developed works it takes input from the tester for lane changes and adding vehicle in blind spot and simulating the possibilities efficiently. The same is being Show cased by the Hardware Prototype which shows autonomous Driving and efficient lane change behavior using Blind Spot Monitoring System (BSM) and the Automatic Emergency Braking System (AEB) effectively. Key words: Lane Change Assist System (LCAS), Blind Spot Monitoring System (BSM), Automatic Emergency Braking System (AEB), Lane Merging, Lane Detection, Collision Avoidance, Lane Departure Warnings, Time-to-collision (TTC), Sensor Based Perception, Autonomous Driving Systems, Smooth Braking, obstacle detection System, Ultrasonic Sensor, Embedded Systems."
Disclaimer: Curated by HT Syndication.
