Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS


Abstract: "Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by imposing embedded systems with limited computational resources. In this paper, we propose an approach to embed a multi- task CNN network under such conditions on a commercial prototy... » 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

Enhancement of Robustness in Object Detection Module for Advanced Driver Assistance Systems


Abstract: "A unified system integrating a compact object detector and a surrounding environmental condition classifier for enhancing the robustness of object detection scheme in advanced driver assistance systems (ADAS) is proposed in this paper. ADAS are invented to improve traffic safety and effectiveness in autonomous driving systems where object detection plays an extremely important rol... » read more

Meeting The Power Challenges of ADAS


Advanced driver assistance systems (ADAS) technologies have the potential to improve driver safety and comfort, and to reduce car accidents and casualties. The adoption of ADAS technologies creates challenges in electronic solutions size, safety, and reliability. This white paper reviews the challenges for ADAS electronic components of a smart car and presents a few examples of how power man... » read more

Ethernet TSN for Automotive ADAS Applications


The new age of automotive electronic systems has decreased accidents and fatalities. Improving Advanced Driver Assistance Systems (ADAS) for safety-critical automotive applications is the next wave and requires a huge amount of data transmission and subsequent processing. Systems are becoming more sophisticated as they combine ADAS applications from emergency braking, collision avoidance, lane ... » read more

Automakers Take On More Responsibility


Chip and EDA companies are scrambling to deal with stiff safety regulations and harsh environmental conditions for automotive chips, but automakers are making big changes of their own to ensure all those components work together as expected. The result is a significant shift of responsibilities of companies in the automotive supply chain. Carmakers traditionally have left verification, valid... » read more

IP Market Shifts Direction


Semiconductor Engineering sat down to discuss intellectual property changes and challenges with Patrick Soheili, vice president of product management and corporate development at [getentity id="22242" e_name="eSilicon"]; Navraj Nandra, senior director of marketing for DesignWare analog and MSIP at [getentity id="22035" e_name="Synopsys"]; Kurt Shuler, vice president of marketing at [getentity i... » read more

Smarter Cars, But How Smart?


With the emergence of the Internet of Things, smart cars are beginning to garner more attention — the kind that comes with real R&D dollars, market development plans and cost analyses for future commercialization. Smart cars are different than connected cars, which are simply smartphones on wheels. Until now, the focus on intelligence in automobiles has largely been on driver assist and in... » read more