HL Mando has been granted a patent for an apparatus that assists in driving by utilizing sensors to acquire front and rear data, allowing for autonomous lane changes based on position and velocity information of other vehicles. The technology aims to enhance driving safety and efficiency. GlobalData’s report on HL Mando gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on HL Mando, Driving behavior monitoring was a key innovation area identified from patents. HL Mando's grant share as of May 2024 was 83%. Grant share is based on the ratio of number of grants to total number of patents.
Apparatus for autonomous lane changing in host vehicle
A recently granted patent (Publication Number: US11977147B2) discloses an apparatus designed to assist in driving a host vehicle. The apparatus includes multiple sensors, such as a front sensor for acquiring image data, a radar or LiDAR sensor for front sensing data, and another radar or LiDAR sensor for rear side sensing data. These sensors work in conjunction with a controller equipped with a processor to process the acquired data. The controller is programmed to respond to lane change commands by obtaining position and velocity information of other vehicles in adjacent lanes based on rear side sensing data. It then outputs driving signals to adjust the distance between the host vehicle and preceding vehicles, facilitating autonomous driving and lane changes.
Furthermore, the patent details a method for controlling the apparatus, involving the acquisition of front image data, front sensing data, and rear side sensing data. Upon receiving a lane change command, the method includes obtaining information about other vehicles in the target lane and adjusting the host vehicle's position accordingly. The driving signals generated by the controller account for changes in distance between vehicles, velocity ratios, and lane width, ensuring a smooth transition between lanes. By utilizing a combination of sensors and intelligent processing, this technology aims to enhance driving assistance systems and improve overall road safety by enabling efficient and automated lane changes based on real-time data analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
