If you’re interested in staying ahead of the curve in the automotive industry, AutoSens Detroit 2023 is an event you won’t want to miss. This leading conference is dedicated to vehicle perception and sensing, covering everything from hardware challenges to software developments, research into AI, computer vision and image processing, plus other safety challenges, including validation and simulation strategies for ADAS and autonomous vehicles.
With over 450 attendees joining every year, this is a thriving community of experts who are passionate about shaping the future of the industry. Read on for a sneak peek at the must-see topics and featured sessions that will be taking place in May.
The software-defined car and the importance of network communications
One of the key trends impacting the automotive industry in recent years has been the rise of the connected car. It is no longer enough to look at the aesthetics and performance of a car, now it is software and connectivity capabilities that must be considered too. This is an area that the whole automotive supply chain is exploring, and its importance and significance will be looked at in greater detail in our sessions.
Egil Juliussen, VSI, will be discussing how software designed vehicles will impact ADAS and Christian Liebl of Continental and Ajeya Gupta, Ford will be focusing on SerDes links and high-speed networks. Wondering how to leverage the cloud to accelerate and scale ADAS /AV development? Then Paul George, Amazon Web Services has this covered.
With an increasing amount of software going into the car, with increased demands on connectivity and an increasing number of sensors being used, this means more data is generated, which brings further challenges. Hear from Matt Daley, rFpro as he speaks about creating high-fidelity synthetic training data and Abhay Ray, indie Semiconductor, focusing on scaling automotive sensing compute for the mass market.
How does the automotive industry look today and where are we now with Level 3?
The automotive industry has seen a huge increase in the number of chips needed in cars, and, with the numbers set to get even higher, the industry must look at how future collaborations will enable this increase in demand and how to offset the impact on the semiconductor supply chain. With these supply chain pressures being the industry norm our panel, hosted by Ann Mutschler, Executive Editor/EDA, Semiconductor Engineering, will explore how OEMs, Tier 1s and Foundries can work together.
The automotive industry has long seen the fully automated car as the ultimate goal, and achieving this goal has needed more sensors and greater data capacity and interpretation. Innovations in these areas have led to us achieving level 3 with Mercedes-Benz being granted approval in Nevada. Konstantin Fichtner, Project-Lead Lidar Drive Pilot Level 3, Mercedes-Benz and Clément Nouvel, Lidar CTO, Valeo will be exploring this in greater detail by looking at the link with LIDAR development, how Level 2+ can transition to Level 3 and detailing the Mercedes Benz Drivepilot Level 3 journey.
Parking and low-speed manoeuvring
With demand growing for an enhanced driver experience, autonomous parking applications have become increasingly popular within the automotive industry and with end users. In a session dedicated to these autonomous applications, Dr. Ralph Mende, Smartmicro will be talking about how to use Software-defined radar sensors for low-speed manoeuvring and Paul Dentel, Ambarella will focus on enabling Higher-Performance 4D Imaging Radar with Central AI Processing of Raw Data. The requirements for next generation sensors that enable the next level of autonomous parking will be the focus of Kevin Lu’s, Zongmu Tech talk, while Niyant Patel, Elmos North America will explore the use of ultrasonic sensors.
Challenges in functional safety
As cars become more intelligent so too must functional safety be investigated to mitigate any surmounting challenges. Srinivasa S Guntur, Rivian will look at how SOTIF can bridge the gap between system failure & indeterministic safety hazards without a system failure to achieve safety of the AV while migrating from L2 to L3, L4, L5 autonomous driving capability. Hakan Sivencrona, Zenseact will then go on to explain how to ensure a safe ODD expansion through an efficient DevOps for the sensors.