Radar-Based SLAM Algorithm (Ulm University)


A technical paper titled “Simultaneous Localization and Mapping (SLAM) for Synthetic Aperture Radar (SAR) Processing in the Field of Autonomous Driving” was published by researchers at Ulm University. Abstract: "Autonomous driving technology has made remarkable progress in recent years, revolutionizing transportation systems and paving the way for safer and more efficient journeys. One of... » read more

Embedded Automotive Platforms: Evaluating Power And Performance Of Image Classification And Objects Detection CNNs 


A technical paper titled “Performance/power assessment of CNN packages on embedded automotive platforms” was published by researchers at University of Modena and Reggio Emilia. Abstract: "The rise of power-efficient embedded computers based on highly-parallel accelerators opens a number of opportunities and challenges for researchers and engineers, and paved the way to the era of edge com... » read more

Gearing Up For Level 4 Vehicles


More autonomous features are being added into high-end vehicles, but getting to full autonomy will likely take years more effort, a slew of new technologies — some of which are not in use today, and some of which involve infrastructure outside the vehicle — along with sufficient volume to bring the cost of these combined capabilities down to an affordable price point. In the meantime, ma... » read more

New Architecture Elements For 5G RF Front-End Modules To Reduce Noise, Improve Efficiency, And Allow Multiple Radio Transmitters


A technical paper titled “Circuits for 5G RF front-end modules” was published by researchers at Skyworks Solutions Inc. Abstract: "Worldwide adoption of fourth-generation wireless (4G) long-term evolution (LTE) smartphones and the actual transition to fifth-generation wireless (5G) is the main driving engine for semiconductor industry. 5G is expected to reach high data rate speeds (1 Gbps... » read more

Virtual Development Of Perception Sensor Systems


By Ron Martin and Christoph Sohrmann Over the past few years, there has been a marked expansion in research and development activities related to driver assistance systems as well as highly automated and connected driving systems. However, this has yet to translate into a higher degree of automation in the average production vehicle – especially for SAE Level 3 and above. The next step in ... » read more

An Efficient Method To Develop, Evaluate, and Demonstrate Connected And Autonomous Driving 


A technical paper titled "Vehicle-in-Virtual-Environment (VVE) Method for Autonomous Driving System Development, Evaluation and Demonstration" was published by researchers at Ohio State University. Abstract: "The current approach to connected and autonomous driving function development and evaluation uses model-in-the-loop simulation, hardware-in-the-loop simulation and limited proving ground... » read more

Why Auto Ecosystem Relationships Are Changing


The automotive industry is in the midst of rapid change on many fronts. OEMs are exploring new functions and features to add to their vehicles, including chiplets, electrification, autonomous features, as well as new vehicle architectures that will determine how vehicles are going to be designed from the foundation up. But all of this is dependent on the relationships between all of the ecosyst... » read more

How Many Sensors For Autonomous Driving?


With the cost of sensors ranging from $15 to $1,000, carmakers are beginning to question how many sensors are needed for vehicles to be fully autonomous at least part of the time. Those sensors are used to collect data about the surrounding environment, and they include image, lidar, radar, ultrasonic, and thermal sensors. One type of sensor is not sufficient, because each has its limitation... » read more

Machine Vision Plus AI/ML Adds Vast New Opportunities


Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to "see" far more than just pixel data from sensors, and opening up new opportunities across a wide swath of applications. In recent years, startups have been able to raise billions of dollars as new MV ideas come to light in markets ranging from transportation and manufacturing to heal... » read more

Autonomous Driving: End-to-End Surround 3D Camera Perception System (NVIDIA)


A new technical paper titled "NVAutoNet: Fast and Accurate 360∘ 3D Visual Perception For Self Driving" was published by researchers at NVIDIA. Abstract "Robust real-time perception of 3D world is essential to the autonomous vehicle. We introduce an end-to-end surround camera perception system for self-driving. Our perception system is a novel multi-task, multi-camera network which takes a... » read more

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