12 January 2021
Delivering automated driving and driver assistance functions for a brand-new vehicle designed from scratch is a huge opportunity. We can fine-tune the sensor setup, the processing platform, the vehicle signals, and find ways to integrate all of them in the vehicle as seamlessly as possible while maximizing the value offered to the driver.
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13 November 2020
Apple’s recent announcement of the new M1 chip powering their latest Macs, following many years of successful deployment of their Ax chips powering their smartphones and tablets, demonstrates their use of hardware closely coupled to their software to maximize their product leadership. But why do they invest so much in their hardware platform?
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11 November 2020
At AImotive, we heavily rely on perfecting simulation testing for our automated driving development efforts. This push has led to the creation of aiSim, the world’s first ISO 26262-certified simulator for automated driving systems. However, not even the best simulation can substitute the real world...
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2 November 2020
In five years, AImotive has created what no company has done before: the world’s first automotive grade, ISO26262-certified simulator, aiSim. However, it is not enough to have high-fidelity vehicle dynamics, realistic sensor models and last but not least realistic traffic simulation....
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21 September 2020
When considering hardware platforms for executing high performance NNs (Neural Networks), automotive system designers frequently determine the total compute power by simply adding up each NN’s requirements...
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8 September 2020
Efficiency has always been at the core of everything we do at AImotive, which is why we realized early on that the quality of data collection is more important than its quantity, and that there are much smarter methods than standard data collection practices.
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17 August 2020
The unprecedented situation that has developed as a result of the current COVID-19 outbreak has brought a new range of challenges to the fore in automotive software development. At AImotive, we are relying on...
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11 August 2020
To build a scalable technology platform for automated driving, we need to focus on safety throughout our development cycle. We have created a public Safety Report to show the framework of our approach to safety in ADAS.
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5 August 2020
At AImotive we are working to catalyze the mass deployment of automated driving solutions. In order to make these accessible to all, we still have to overcome several obstacles with our partners.
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21 May 2020
Solving continuous integration – continuous deployment (CICD) development for safety critical automotive software is a complex challenge. While simulation is a vital aspect of the solution, simply having a simulator is not everything. At AImotive, we have created a unique CICD development pipeline, that relies on simulated and real-world data to ensure safe development.
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11 February 2020
To get ADAS right, you have to start with the hardware. You can create the most advanced perception, robust decision making, detailed planning algorithms, but without a robust, reliable hardware platform with sufficient guaranteed performance, any deployment strategy will simply fail.
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9 August 2019
First came computer vision and traditional algorithms, then supervised-learning artificial intelligence. Yet we continue to find limitations in what machines can do. A novel approach is to train AI as we would train a pet, or even, as we often learn ourse
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1 August 2019
Guidelines for software devs and safety drivers to mitigate personal liability. The question of personal liability in automated driving development is surprisingly common, as everyone is aware of the risks involved. At the first AImotive Meetup in Bud
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18 July 2019
Scenarios are the base of simulation testing for automated driving systems, just as simulation testing is the base of safe automated driving. However, until recently moving scenarios from one simulator to another was almost impossible. This has to change.
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2 July 2019
Higher levels of autonomy will require dedicated chips built for self-driving. However, developing hardware platforms requires unique expertise of a kind that most traditional automotive OEMs don’t have.
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6 June 2019
There is no such thing as a self-driving car. At least, not yet. Our new series of blogs The basics of driving automation examines the fundamental challenges to tackle before we reach autonomy.
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17 May 2019
Currently, many AVs use a powerful central compute platform, but as the technology, safety standards, and regulations mature even these platforms cannot deliver the performance needed. Distributed processing offers some answers, especially for AVs.
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30 April 2019
The proliferation of increasingly advanced automated driving technologies poses a new challenge for the automotive industry. One, that traditional safety standards are not equipped to solve.
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12 April 2019
Many believe that Neural Network (NN) hardware accelerators are great for anything using NNs. However, NN training is very different to NN inference as happens in applications like autonomous vehicles (AVs). This blog explains the differences, and why aiW
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19 March 2019
First people thought self-driving was a sprint race, now many think it’s a marathon. However, it’s turning out to be an ultra-marathon relay. No one can solve the challenges of self-driving alone: the future to automation lies in collaboration.
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28 February 2019
What’s the problem?Creating production-ready, compute-intensive AI-enabled hardware platforms for automotive is becoming one of the most innovative, dynamic and creative areas for the semiconductor industry.
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15 February 2019
No single sensor can handle the whole of self-driving, however, when utilizing sensor fusion the strengths and weaknesses of different sensor types have to be considered.
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31 January 2019
The future of automated driving lies in collaboration. However, this has its different forms and levels. The way forward is paved with standardization, modular software architectures, and flexible designs.
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3 January 2019
Much has changed in the autonomous industry over the past year, and even bigger changes are coming in 2019.
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19 December 2018
Automotive simulation has a specific set of demands. Meeting them is no simple task.
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29 November 2018
Simulation is a game changer in autonomous technology, but more has to be done.
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22 November 2018
The demand for ever more advanced high-performance real-time compute processing hardware is increasing rapidly across the automotive industry.
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16 October 2018
As computer systems became more complex the question arose: centralize all resources, or distribute processing?
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1 October 2018
It may sound trivial, but getting a self-driving system to understand its own movement is no easy task.
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16 August 2018
Self-driving is one of the greatest challenges of our age. For the first time, we have the technological background, spatial and temporal resolution for a robotic system to fully understand its surroundings.
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12 July 2018
Functional safety is, without a doubt, the most crucial factor in safety-critical environments such as automotive development. Not only because you gain the trust of customers but because you would put the health and safety of test drivers and more import
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