Discover Research Opportunities
Overview
At Connected Motion, we work on a variety of areas relevant to mobility. Many of the areas we are working on have a path to commercialization. We believe that we should share the opportunity to grow and benefit from the community that surrounds us. This is achieved mainly through our collaboration framework. Potential collaborators are encouraged to discover our areas of research to decide if they are a good fit. On this page, you’ll find the different research areas CM is focused on at the time.
Channel Sensing Technologies
Several mobility applications demand solutions to detect occupants, authenticate drivers, monitor their driving habits and health. Things like driver fatigue detection, heart rate monitoring, and systems that track stress or attentiveness. Additionally, mobility solutions like autonomous vehicles and car sharing require detecting the presence of passengers in the vehicle.
At Connected Motion we have an interest in researching technologies using AI and channel sensing or mmWave to address this need.
Location Technologies
Internet of Things (IoT) is a field emerging in mobility driving lots of data and analytics from vehicles to optimize performance and enhance customer service. IoT and many mobility applications (e.g., navigation, fleet management) require consistent connectivity and/or ability to find people and assets, which can be compromised in areas with poor or no network coverage.
At Connected Motion we are interested in researching technologies like sensor-based positioning systems and vision-based localization to address issues like limited network coverage and unreliable location services.
Diagnostics & Inspection Technologies
Maintenance costs are really significant in mobility areas. Additionally, sudden vehicle breakdown can cause huge disruptions for users. Service & inspection are also cost drivers in mobility. Service time is an important measure and damage inspection is susceptible to human error. At Connected Motion we are researching technologies using AI, machine learning, and IoT to diagnose different types of vehicle failures before they occur and inspect for any failures after occurring.
Vehicle Telematics
The rise of Vehicle Telematics is transforming the mobility landscape by harnessing data from connected vehicles to improve operational efficiency, safety, and customer experiences. Telematics systems integrate advanced sensors, communication networks, and analytics to monitor vehicle performance, driver behavior, and fleet operations in real time. However, these applications often depend on reliable connectivity and precise location data, which can be disrupted in areas with weak network signals or challenging environments.
At Connected Motion, we are focused on exploring innovative telematics solutions, such as advanced sensor fusion and onboard data processing, to overcome limitations like inconsistent network coverage and ensure robust, accurate vehicle insights.
At Connected Motion, we are focused on exploring innovative telematics solutions, such as advanced sensor fusion and onboard data processing, to overcome limitations like inconsistent network coverage and ensure robust, accurate vehicle insights.
Edge AI
A common issue with many AI models is that they reside in the cloud. In mobility solutions, this results in more power consumption, latency overhead, in addition to service dropout on loss of connection. As such, mobility solutions can benefit significantly from edge AI solutions to perform inference at the edge. These solutions are not necessarily a one size fits all type. Additionally, building these AI solutions on existing instruction sets can be quite costly.
We ❤️ Open Source
At Connected Motion we believe in the power of community. We also believe that open-source technology is a significant driver and accelerator of innovation. As such, we like to incorporate the use of and contribute to open-source in our projects. This includes the use of memory-safe languages like Rust and open architectures like RISC-V.
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