11 March 2021
Is the future electric, self-driving or both? The answer is complex and influenced just as much by long-term industry trends, regulation and consumer demands, as how quickly the technology develops. Let’s take a closer look.
Read More
28 January 2021
For embedded applications, the biggest challenge is taking a concept from a prototype in the lab to a production-ready solution: a product that is robust over lifetime, certified to all the relevant standards, tested to ensure it always works, and cost-engineered to make sure it delivers a profit. You need tools designed to help engineers do that job as flexibly as possible.
Read More
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.
Read More
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?
Read More
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...
Read More
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....
Read More
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...
Read More
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.
Read More
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...
Read More
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.
Read More
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.
Read More
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.
Read More
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.
Read More
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
Read More
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
Read More
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.
Read More
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.
Read More
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.
Read More
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.
Read More
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
Read More
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.
Read More
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.
Read More
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.
Read More
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.
Read More
3 January 2019
Much has changed in the autonomous industry over the past year, and even bigger changes are coming in 2019.
Read More
19 December 2018
Automotive simulation has a specific set of demands. Meeting them is no simple task.
Read More
29 November 2018
Simulation is a game changer in autonomous technology, but more has to be done.
Read More
22 November 2018
The demand for ever more advanced high-performance real-time compute processing hardware is increasing rapidly across the automotive industry.
Read More
16 October 2018
As computer systems became more complex the question arose: centralize all resources, or distribute processing?
Read More
1 October 2018
It may sound trivial, but getting a self-driving system to understand its own movement is no easy task.
Read More
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.
Read More
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
Read More
