Fullmoonfever
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Though, to temper expectations I've found this project via Adante.ai which involved Valeo, GML and CEA on neuromorphic.Pretty sure probs posted before but if not....from the Valeo site mid last month.
If I'm not mistaken, Akida does 3D point cloud from memory and definitely AI perception, so who knows...maybe just maybe at CES 24 I hope
Valeo SCALA™ 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA™ 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility"www.valeo.com
VALEO GROUP | 16 NOV, 2023 | 7 MIN
Valeo SCALA 3 LiDAR (Light Detection & Ranging) receives prestigious CES 2024 Innovation Award
Valeo is proud to announce that our SCALA 3 LiDAR is a CES 2024 Innovation Award honoree in the category "Vehicle Tech & Advanced Mobility".
As the industry recognises the key role of LiDAR technology in the development of autonomous mobility, this award acknowledges once again Valeo’s leading role as a pioneer in bringing this technology to the automotive industry and in producing it at scale.
SCALA 3, Valeo’s 3rd generation LiDAR perception system, offers an automotive-grade high resolution LiDAR (Light Detection & Ranging) sensor, allowing advanced perception in all conditions meeting the highest automotive industry quality and safety standards. SCALA 3 high-density point cloud and associated AI-based perception software enables high-speed autonomous driving on highways in a wider range of conditions, dramatically increasing the end-user value of Level 3 systems through a large extension of their domain of operation and the scalability of Level 4 robotaxi fleet.
Valeo’s capability to deliver on its promises is recognised by clients around the world. Valeo LiDAR equips the only Level 3 passenger cars authorized in Europe, and we have announced in March 2023 orders over the past 18 months worth more than 1 billion euros for Valeo SCALA 3. Valeo, the global leader in Advanced Driver Assistance Systems (ADAS), was the first, and remains the leading company, in the production of automotive LiDAR sensors and perception software on an industrial scale for Level 3 autonomous driving.
At CES 2024 from Jan. 8 to 12, Valeo will present at its booth its awards winning SCALA 3 LiDAR and, for the first time, will give visitors the opportunity to experience and learn more about our AI-based perception software and how it helps classify objects identified by the LiDAR in the Point Cloud.
Marc Vrecko, President of Valeo Comfort and Driving Assistance explains “Valeo has been among the first actors of the automotive industry to believe in LiDAR’s role as the keystone of autonomous mobility. We are honored to receive a CES 2024 Innovation Award that recognises our vision and technological leadership. Today, as most automakers work on bringing Level 3 autonomy to the market, we are ready to support them with our best-in-class technology. After more than 10 years of development and more than five years of production, our LiDAR is already in use on vehicles around the world, contributing significantly to the enhanced safety of road users as well as to offering a great step forward in the development of automated mobility. Valeo is a partner in the innovation being deployed worldwide and is today the only company able to offer both a LiDAR technology with outstanding performance and a unique capability to produce automotive grade LiDAR systems at scale.“
Not sure of date, can't find one yet, but we know we were at least loosely connected to CEA (Leti?) via some other neuromorphic projects from mem.
Use Case 3.3: 3D Object Detection and Classification of Road Users based on LiDAR and camera
Transport and Smart Mobility
The process of perception in self-driving cars uses a combination of different sensors to perceive and model the environment around the vehicle, in real-time. Perception in self-driving cars is crucial to the following operation modules. For example, actions like breaking are derived from it. Sensors like cameras, radars and LiDARS are used for the environmental modelling around the car. Using and processing this data, software systems based on neural networks act as the ‘brain’ of the vehicle. The related hardware, in the current AI solutions, is based on powerful and highly power-hungry GPUs, which is not suitable for smart sensors or central domain controllers that need to fuse several input streams (need for multiple chips). Therefore, this use case also will permit to investigates how much it is possible to reduce the overall power consumption with neuromorphic chip computing and in parallel keeping the same detection performance and an improved latency as compared to other conventional chips with higher power consumption as mentioned before.
Valeo, in collaboration with CEA and GML, works to demonstrate how neuromorphic chip computing can be applied in the perception stack for autonomous driving using LiDAR and camera neural network tasks on 3D object detection and classification of road users.