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Synergies And Limitations Between Road Infrastructure And Automated Driving


This new technical paper titled "Road Infrastructure Challenges Faced by Automated Driving: A Review" was published by researchers at Graz University of Technology (Austria), University of Zagreb (Croatia), AKKA I&S (France). Abstract "Automated driving can no longer be referred to as hype or science fiction but rather a technology that has been gradually introduced to the market. The recen... » read more

Verify Perception Systems Virtually Via Accurate Fog Models


Under every lighting level and weather condition, cameras must reliably “see” pedestrians and other physical objects ― and trigger an appropriate reaction from critical systems such as braking. This is especially challenging in foggy conditions, which can confuse visual cameras, radar, lidar and other conventional sensor technologies. Thermal imaging represents a potential solution, helpi... » read more

Data Association Between Perception and V2V Communication Sensors


Abstract: "The connectivity between vehicles, infrastructure, and other traffic participants brings a new dimension to automotive safety applications. Soon all the newly produced cars will have Vehicle to Everything (V2X) communication modems alongside the existing Advanced Driver Assistant Systems (ADAS). It is essential to identify the different sensor measurements for the same targets (... » read more

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving


Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized features from a sequence of historical LiDAR data as well as rasterized high-definition map to perform detection and prediction tasks. We extend the BEV network ... » read more

Choose The Right Sensors For Autonomous Vehicles


When the world’s first “motorwagen” was introduced in 1885, the notion that a car would one day drive itself was laughable. Today, assisted and autonomous vehicles are the reality of an age where digital sensors can outperform human ability to perceive motion, distance, and speed. When used together, sensor technologies including camera, lidar, radar, and ultrasonic give vehicles one... » read more

Manufacturing Bits: Sept. 15


World’s largest camera The Department of Energy’s SLAC National Accelerator Laboratory has taken a step towards the development of the world’s largest digital camera. Target for astronomy applications, SLAC has developed a large 3,200-megapixel sensor array and has taken its first photos with the system. The sensor array will be integrated into the world’s largest digital camera, wh... » read more

Power/Performance Bits: Oct. 29


Chip scanning Researchers at the University of Southern California and the Paul Scherer Institut in Switzerland developed an x-ray technique to non-destructively scan chips to make sure they conform to specifications. Such a system could be used to identify manufacturing defects or malicious alterations, the team said. Called ptychographic x-ray laminography, the technique utilizes x-rays f... » read more

System Bits: Feb. 11


Modeling computer vision on human vision University of Michigan scientists used digital foveation technology to render images that are more comprehensible to machine vision systems, while also reducing energy consumption by 80%. The effect is achieved by manipulating a camera’s firmware. “It'll make new things and things that were infeasible before, practical,” Professor Robert Dick s... » read more

Week in Review: IoT, Security, Auto


Internet of Things Internet of Things vendors and providers of network services need to collaborate to fully realize the possibilities presented by the IoT, Chris Martin of PowWowNow writes. “The potential applications for IoT sensors and devices span a vast number of industries, with IoT technologies expediting the growth of smart cities, autonomous vehicles and connected industry technolog... » read more

Power/Performance Bits: Nov. 6


Camera for object recognition Researchers from the University of Illinois at Urbana-Champaign developed a new camera that could improve object detection in vehicles. Inspired by the visual system of mantis shrimp, the camera detects the polarization of light and has a dynamic range about 10,000 times higher than today's commercial cameras. "In a recent crash involving a self-driving car, th... » read more