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Data Fusion Scheme For Object Detection & Trajectory Prediction for Autonomous Driving


New research paper titled "Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving" from researchers at Uber. 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 featur... » read more

Radar For Automotive: Why Do We Need Radar?


Communications and sensing technologies have transformed the automotive industry. More and more, cars include features and systems to interact with their environment, gaining awareness of the surrounding space, networking with each other and with the infrastructure, and detecting possible sources of danger. We can consider that vehicles have acquired their own “senses”: they know where they... » read more

Radar Systems


Combined with advances in phased-array antennas and integration technologies, radars are moving beyond military/aerospace markets to address a host of commercial applications. This white paper showcases how the Cadence AWR Design Environment platform provides designers with a host of modeling and simulation technologies needed to meet the challenges of all types of radar system design. Click h... » read more

Revving Up SiC And GaN


Silicon carbide (SiC) and gallium nitride (GaN) are becoming more popular for power electronics, particularly in automotive applications, driving down costs as volumes scale up and increasing the demand for better tools to design, verify, and test these wide-bandgap devices. Both SiC and GaN are proving essential in areas such as battery management in electric vehicles. They can handle much ... » 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

Innovations In Sensor Technology


Sensors are the “eyes” and “ears” of processors, co-processors, and computing modules. They come in all shapes, forms, and functions, and they are being deployed in a rapidly growing number of applications — from edge computing and IoT, to smart cities, smart manufacturing, hospitals, industrial, machine learning, and automotive. Each of these use cases relies on chips to capture d... » read more

Big Changes Ahead For Inside Auto Cabins


The space we occupy inside our vehicles is poised to change from mere enclosure to participant in the driving experience. Whether for safety or for comfort, a wide range of sensors are likely to appear that will monitor the “contents” of the vehicle. The overall approach is referred to as an in-cabin monitoring system (ICMS), but the specific applications vary widely. “In-cabin sensing... » read more

RF/Microwave Technology Driving The Connected Car


In-car networks and advanced driver-assistance systems (ADAS), made possible through wireless sensors, driver-assist radar, vehicle communications, and related electronics, present many design challenges to engineers. Simulation software enables design teams to effectively manage the complex design and integration challenges associated with developing these high-speed and RF-enabled networks. T... » read more

Competing Auto Sensor Fusion Approaches


As today’s internal-combustion engines are replaced by electric/electronic vehicles, mechanical-system sensors will be supplanted by numerous electronic sensors both for efficient operation and for achieving various levels of autonomy. Some of these new sensors will operate alone, but many prominent ones will need their outputs combined — or “fused” — with the outputs of other sensor... » read more

40 GHz VCO and Frequency Divider in 28 nm FD-SOI CMOS Technology for Automotive Radar Sensors


Abstract: "This paper presents a 40 GHz voltage-controlled oscillator (VCO) and frequency divider chain fabricated in STMicroelectronics 28 nm ultrathin body and box (UTBB) fully depleted silicon-on-insulator (FD-SOI) complementary metal-oxide–semiconductor (CMOS) process with eight metal layers back-end-of-line (BEOL) option. VCOs architecture is based on an LC-tank with p-type metal-oxide... » read more

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