Browse Topic: Radar
This study introduces a novel in-cabin health monitoring system leveraging Ultra-Wideband (UWB) radar technology for real-time, contactless detection of occupants' vital signs within automotive environments. By capturing micro-movements associated with cardiac and respiratory activities, the system enables continuous monitoring without physical contact, addressing the need for unobtrusive vehicle health assessment. The system architecture integrates edge computing capabilities within the vehicle's head unit, facilitating immediate data processing and reducing latency. Processed data is securely transmitted via HTTPS to a cloud-based backend through an API Gateway, which orchestrates data validation and routing to a machine learning pipeline. This pipeline employs supervised classifiers, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF) to analyze features such as temporal heartbeat variability, respiration rate stability, and heart rate. Empirical
Perception radar company Arbe was at IAA Mobility in Munich this year to press the case that customers can and should trust automated vehicles. One reason is the global trend of stricter regulations from the NHTSA, Euro NCAP, and in China, which now require automated vehicles to safely meet demanding use cases that are not covered by current sensors, according to Arbe co-founder and CTO Noam Arkind. Arkind told SAE Media that one such category is detecting vulnerable road users (VRU) in poor weather and lighting conditions. “We know from recent tests that a lot of Chinese cars, for example, failed VRU detections in the dark,” he said. “Camera alone doesn't really have reliable pedestrian detection in a dark situation. Radar is a great sensor. It's very sensitive. It's not dependent on weather conditions or lighting conditions, but it's noisy, it's low resolution, and it's hard to use.”
Hensoldt Taufkirchen, Germany nico.fritz@hensoldt.net
The Vision for Off-road Autonomy (VORA) project used passive, vision-only sensors to generate a dense, robust world model for use in off-road navigation. The research resulted in vision-based algorithms applicable to defense and surveillance autonomy, intelligent agricultural applications, and planetary exploration. Passive perception for world modeling enables stealth operation (since lidars can alert observers) and does not require more expensive or specialized sensors (e.g., radar or lidar). Over the course of this three-phase program, SwRI built components of a vision-only navigation pipeline and tested the result on a vehicle platform in an off-road environment.
FibreCoat, the German materials startup, has developed a groundbreaking fiber reinforced composite that is capable of making aircraft, tanks and spacecraft invisible to radar surveillance.
Modern military aircraft represent some of the most complex electronic environments ever engineered. These platforms integrate advanced avionics, radar systems, data links, and communication networks that must function seamlessly in hostile, high-frequency environments. In these mission-critical contexts, electromagnetic interference (EMI) poses a silent but serious threat that can degrade signal integrity, cause crosstalk between systems, or even lead to mission failure. The combination of increasing data rates, higher frequencies, and more complex electromagnetic environments demands shielding solutions that can deliver superior performance while contributing to overall system weight reduction. This challenge has driven innovation toward advanced materials that maintain electrical effectiveness while dramatically reducing mass.
FibreCoat, the German materials startup, has developed a groundbreaking fiber reinforced composite that is capable of making aircraft, tanks and spacecraft invisible to radar surveillance. The company was officially founded in Aachen, Germany, in 2020, however its core founding team first began developing new approaches to the use of materials that make commercial and military vehicles invisible to radar as back as 2014. FibreCoat is known for inventing a novel technology to coat metals and plastics onto fibers, thus combining the properties of the fibers and the coating material, during the fiber-spinning process.
The U-Shift IV represents the latest evolution in modular urban mobility solutions, offering significant advancements over its predecessors. This innovative vehicle concept introduces a distinct separation between the drive module, known as the driveboard, and the transport capsules. The driveboard contains all the necessary components for autonomous driving, allowing it to operate independently. This separation not only enables versatile applications - such as easily swapping capsules for passenger or goods transportation - but also significantly improves the utilization of the driveboard. By allowing a single driveboard to be paired with different capsules, operational efficiency is maximized, enabling continuous deployment of driveboards while the individual capsules are in use. The primary focus of U-Shift IV was to obtain a permit for operating at the Federal Garden Show 2023. To achieve this goal, we built the vehicle around the specific requirements for semi-public road
Airbus Defense London, UK aeron.a.haworth@airbus.com
Low-level flight, defined by high-speed operations near terrain, represents a significant challenge in military rotorcraft missions while providing strategic advantages, such as radar evasion and heightened surprise. Recent conflicts highlight the urgent need for advanced low-level flight capabilities in the design of new rotorcraft. The close proximity to ground obstacles, combined with the complexities of piloting, necessitates precise control and robust handling qualities to prevent accidents. However, existing handling quality standards, such as MIL-DTL-32742, reveal limitations in assessing low-level maneuvers. Given the diverse array of new rotorcraft designs, driven by initiatives like the U.S. Army's Future Vertical Lift and NATO's Next Generation Rotorcraft Capabilities, a customized handling qualities evaluation for each design is impractical. In response, a performance-driven strategy has been implemented, scaling Mission Task Elements to align with aircraft performance
Just one year after signing a ground-breaking trilateral agreement, the Deep Space Advanced Radar Capability partnership is completing facilities construction at the first of three sites that will host a global network of advanced ground-based sensors.
Hensoldt Taufkirchen, Germany nico.fritz@hensoldt.net
Naval Air Systems Command Patuxent, MD navairpao@us.navy.mil
As infrastructure ages, it becomes more susceptible to failure, which can cause safety and mobility concerns for drivers and pedestrians, and economic woes for taxpayers. A recent study published in “Transportation Research Record” shows that high-resolution synthetic aperture radar (SAR) satellite data can detect infrastructure issues early on, which can help prevent further damage to roads in the same way that annual checkups can help prevent more complex health issues in humans.
Hensoldt Taufkirchen, Germany lothar.belz@Hensoldt.net
The final frontier in digital transformation is the analog edge, where apertures and actuators meet the mission. Buried behind layers of firmware and analog mitigation, open architecture has a new frontier to conquer, and the opportunity starts at the component level, where digital transformation and the miniaturization enabled by Moore's Law is having its biggest impact. Miniature, modular, and intelligent gateways can be embedded into analog components to replace and re-imagine old firmware and analog mitigation circuitry. These new, embedded gateways promise to bring open architecture deeper into the tactical edge and realize a new level of agility throughout the lifecycle of a system, from design through sustainment of hybrid digital and analog systems.
Automotive radar plays a crucial role in object detection and tracking. While a standalone radar possesses ideal characteristics, integrating it within a vehicle introduces challenges. The presence of vehicle body, bumper, chassis, and cables in proximity influences the electromagnetic waves emitted by the radar, thereby impacting its performance. To address these challenges, electromagnetic simulations can guide early-stage design modifications. However, operating at very high frequencies around 77GHz and dealing with the large electrical size of complex structures demand specialized simulation techniques to optimize radar integration scenarios. Thus, the primary challenge lies in achieving an optimal balance between accuracy and computational resources/simulation time. This paper outlines the process of radar vehicle integration from an electromagnetic perspective and demonstrates the derivation of optimal solutions through RF simulation.
Researchers at the University of California, Davis, have developed a proof-of-concept sensor that may usher in a new era for millimeter wave radars. They call its design a “mission impossible” made possible.
Phased array radar technology has been gaining popularity since its initial introduction in the 1960s and is now being used in a variety of applications, from military and defense to civilian sectors and even space exploration. This cutting-edge technology has revolutionized radar systems by offering unparalleled flexibility, precision, and speed. At the heart of phased array radar lies a sophisticated antenna system composed of numerous individual elements, each capable of independently emitting and receiving radio waves. Unlike traditional radar systems that rely on mechanically rotating antennas, phased array radars electronically steer their beams, enabling rapid and precise target acquisition. This breakthrough is made possible by meticulously controlling the phase of radio waves emitted from each antenna element.
Southwest Research Institute has developed off-road autonomous driving tools with a focus on stealth for the military and agility for space and agriculture clients. The vision-based system pairs stereo cameras with novel algorithms, eliminating the need for LiDAR and active sensors.
Radio frequency (RF) and microwave signals are integral carriers of information for technology that enriches our everyday life – cellular communication, automotive radar sensors, and GPS navigation, among others. At the heart of each system is a single-frequency RF or microwave source, the stability and spectral purity of which is critical. While these sources are designed to generate a signal at a precise frequency, in practice the exact frequency is blurred by phase noise, arising from component imperfections and environmental sensitivity, that compromises ultimate system-level performance.
Launch, recovery, and deck handling operational performance on smaller ship platforms like Corvettes, Frigates and Destroyers are qualified as the most challenging tasks in the UAS ship-deployment of a VTOL Uncrewed Air System (UAS). One of the main hurdles is the random nature of seaway-created deck motions coupled with ship structure disturbed air wake patterns. The MoD has supported a range of work aimed at bringing Quiescent Period Prediction (QPP) technology to fruition. QPP firstly requires Wave Profiling RADAR to measure the sea wave system out to approximately 2km in the region around a vessel. Secondly these measurements are employed in a wave propagation model to predict the actual wave forces acting on a vessel. Using the wave predictions as inputs to a vessel model makes possible to predict the actual (deterministic as opposed to statistical) motions of a vessel. Wave systems naturally alternate groups of large waves with smaller waves, this property, combined with the
This study introduces three new proposed Mission Task Elements (MTEs) - "Big Air", "Giant Slalom", and "Super Combined" - aimed at evaluating handling qualities during low-level and high-speed flight profiles. These MTEs are designed to reflect operational task elements critical in military engagements, particularly where rotorcraft capabilities in evading radar detection and maneuvering at high speeds are paramount. Utilizing piloted simulations with four generic rotorcraft configurations under various flight control laws, the MTEs' effectiveness in exposing aircraft characteristics and handling deficiencies is systematically assessed. The evaluation, conducted with a diverse group of pilots, underscores the MTEs' relevance to real-world scenarios and their robustness in handling qualities assessment across different rotorcraft designs. The study reveals that while some configurations exhibit consistent Level 1 Handling Qualities Ratings (HQRs), others show varied performance
Traditional autonomous vehicle perception subsystems that use onboard sensors have the drawbacks of high computational load and data duplication. Infrastructure-based sensors, which can provide high quality information without the computational burden and data duplication, are an alternative to traditional autonomous vehicle perception subsystems. However, these technologies are still in the early stages of development and have not been extensively evaluated for lane detection system performance. Therefore, there is a lack of quantitative data on their performance relative to traditional perception methods, especially during hazardous scenarios, such as lane line occlusion, sensor failure, and environmental obstructions. We address this need by evaluating the influence of hazards on the resilience of three different lane detection methods in simulation: (1) traditional camera detection using a U-Net algorithm, (2) radar detections using infrastructure-based radar retro-reflectors (RRs
Behrooz Rezvani, founder and CEO of Neural Propulsion Systems, cuts to the chase quickly. “We can improve the performance of any radar and help it see clearer, farther and sooner,” he said. Using a mathematical framework initially discussed in an MIT research paper 14 years ago, Rezvani says his company can take any manufacturer's radar unit and help it: Increase resolution by a factor of 10 for two-dimensional imaging Suppress 10 times the number of false positives Detect targets at twice the current distance with a lidar-like point-cloud density Differentiate notoriously difficult targets, such as pedestrians walking or standing next to parked vehicles NPS Executive Consultant Lawrence Burns, the former head of GM research and development, has seen plenty of advancements during deep involvement with the development of night vision and adaptive cruise control. But he always knew existing radar systems were not yet the answer for the future needs of hands-free driving and other
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