Distance estimation is at the heart of automotive driver assistance systems (ADAS) and automated driving (AD). Simply stated, safe operation of vehicles requires robust distance estimation. Many different types of sensors (camera, radar, LiDAR, sonar) can be used for distance […]
Technical Insights I
February 12, 2020
• peters
How does a self-driving car know where it is? We explain how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along with precision maps. We explore the pros and cons of various localization […]
This talk focuses on extracting invariant features for segmentation of 3D models of mining sites. The image data is generated by stitching together geotagged images from a drone. The 3D model is then generated by applying stereo reconstruction using structure […]
Orbital Insight is a geospatial big data company leveraging the rapidly growing availability of satellite, UAV and other geospatial data sources to understand and characterize socioeconomic trends at global, regional and hyper-local scales. Orbital Insight uses recent advances in deep […]
The need for ensuring safety in AI subsystems within autonomous vehicles is obvious. How to achieve it is not. Standard safety engineering tools are designed for software that runs on general-purpose CPUs. But AI algorithms require more performance than CPUs […]
Energy efficiency plays a crucial role in making computer vision successful in battery-powered systems, including drones, mobile phones and autonomous robots. Since 2015, IEEE has been organizing annual competition on low-power computer vision to identify the most energy-efficient technologies for […]
September 17, 2019
• admin
Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy intelligent sensors and systems at scale. However, optimizing neural networks to achieve both high accuracy and efficient resource use […]
Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module. First, trackers can reduce overall computation and power […]
Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due to their speed when operating on inputs with small […]
In the past few years convolutional neural networks (CNN) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that prevent these models from being used in many embedded […]
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