Search results for: 'Decision Support Database - European Vehicle Parc Matrix'

There is a growing demand for advanced autonomous vehicles including level 3, 4 and 5 with the emergence of advanced sensors for connected and autonomous infrastructure. More sensors are used in advanced driver assistance systems (ADAS) and automated driving to provide greater information about a vehicle’s surroundings. More sophisticated sensor fu...

Opportunities for imaging radars are largely driven by the needs for high precision and high resolution imaging required in land surveillance for assessment of vegetation, topography, hydrology in turn enabling governments or influencing organizations make informed decisions. A key area where imaging radars are finding extensive adoption is for us...

Level 4 autonomous vehicles or self driving vehicles have a high level of automation in which the vehicle can perform all driving tasks and monitor the driver’s environment. The vehicle can operate without the driver’s inputs or oversight under certain conditions, such as type of road or geographic area. Level 5 autonomous vehicles have full autom...

Structural Health Monitoring (SHM) is concerned with continuous monitoring of civil and industrial buildings or structures in order to improve human safety and decrease maintenance costs. The SHM scheme provides data about changes induced by aging products, environmental action, or accidental occurrences in a single portion or in the entire structu...

Marine systems are ocean and subsea monitoring and exploration systems deployed for a wide range of underwater missions and applications. It is accomplished by acquiring data of certain oceanographic parameters, such as biotic and abiotic forms of substances (foreign substances) that exist in the ocean bed. This real time information is sent to the...

The sensor industry is booming rapidly and in the semiconductor sector it is considered one of the emerging segments. With both diagnostic and preventive features, sensors switch from being smart to becoming highly intelligent. Most sensors will be predictive in order to prevent mishaps and avoid correction of the course. Sensors are garnering smar...

Sensors are an integral component found in most digital devices, from smartphones to intelligent vehicles. Industrial Internet of Things, smart cities and factories, autonomous cars, and telehealth create a need for sensor solutions that offer advanced data analytics for efficient usage of energy sources, improved health and safety, and environment...

•LiDAR is an imaging technology that enables distance measurement and the construction of precise and detailed 3D mapping solutions. •4D LiDAR will significantly impact the industrial and the automotive sectors (primarily, autonomous vehicles). For Level 4 and 5 automated driving, the automotive industry will choose 4D LiDAR sensor technology rath...

Simultaneous localization and mapping (SLAM) technology in imaging applications is relying on sensor technologies and software algorithms. SLAM allows autonomous systems such as self-driving cars, robots, and drones to simultaneously build a map of their surroundings, navigate, operate effectively, and estimate their position on that map. It levera...