The automotive industry continues to be a hotbed of innovation, with activity driven by factors such as comfort, convenience and safety, and growing importance of technologies such as sensors, artificial intelligence, and machine learning. In the last three years alone, there have been over 1.2 million patents filed and granted in the automotive industry, according to GlobalData’s report on Internet of Things in Automotive: Road slope estimation. Buy the report here.
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However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilising and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
290+ innovations will shape the automotive industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the automotive industry using innovation intensity models built on over 619,000 patents, there are 290+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, acoustic vehicle signalling devices, autonomous parking, and brake pedal sensors are disruptive technologies that are in the early stages of application and should be tracked closely. Vehicle head up displays (HUDs), smart light dimmers, and automatic actuated vehicle doors are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are road slope estimation and V2V distance monitoring, which are now well established in the industry.
Innovation S-curve for IoT in the automotive industry
Road slope estimation is a key innovation area in IoT
Road slope estimation is useful in a variety of contexts and can be divided into two categories: lateral slope estimation and longitudinal slope estimation. The angle between the axis of the road width and the horizontal plane of the earth is referred to as the lateral slope (roll angle). In a lane-keeping assistance (LKA) system, lateral slope estimation can be used for more accurate lane control and for determining the right speed to safely negotiate curves.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 50 companies, spanning technology vendors, established automotive companies, and up-and-coming start-ups engaged in the development and application of road slope estimation.
Key players in road slope estimation – a disruptive innovation in the automotive industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to road slope estimation
Source: GlobalData Patent Analytics
Porsche Automobil, with 610 patents, is one of the top companies to file for road slope estimation patents. The company's primary focus is to determine road grade (longitudinal slope) and cross-slope (lateral slope) in a roll stability control system built for autonomous vehicles. Autonomous vehicles use perception sensing to gather data from their sensors and translate that data into an understanding of their surroundings. The perception system may consist of a Lidar, monocular camera, stereo camera, and (or) a depth camera. Toyota, Honda, and General Motors are a few other notable patent filers in the same industry.
To further understand how IoT is disrupting the automotive industry, access GlobalData’s latest thematic research report on Internet of Things (IoT) in Automotive.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. 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.
