Leti launches project to characterise lidar sensors


French research institute Leti has announced a pilot programme to characterise and assess Lidar sensors for autonomous vehicles. Te programme is being run in


collaboration with Transdev, a provider of mobility services, and IRT Nanoelec, an R&D centre focused on information and communication technologies using micro- and nano-electronics. In the pilot programme, Leti teams will


focus on perception requirements and challenges from a lidar system perspective, and evaluate the sensors in real-world conditions. Vehicles will be exposed to objects with


varying reflectivity, such as tyres and street signs, as well as environmental conditions, such as weather, available light and fog. In addition to evaluating the sensors’ performance, the project will produce a list of criteria and objective parameters by


which various commercial lidar systems could be evaluated. Lidar is one of the main sensor types


expected to be used onboard autonomous vehicles, with automotive OEMs agreeing deals with lidar system makers. BMW, for example, has selected a solid-state lidar solution from Israeli company Innoviz Technologies for series production of its autonomous vehicles, starting in 2021. Transdev’s latest transportation


technologies are used to operate fleets of autonomous vehicles for shared mobility. Evaluating sensor effectiveness and robustness is critical to develop Transdev’s autonomous transport system. Leti CEO Emmanuel Sabonnadière,


commented: ‘Tis project will build on Leti’s sensor-fusion know-how and sensor development expertise to strengthen Transdev’s testing and evaluation of sensors for its vehicles.’


THE FUTURE DEPENDS ON OPTICS


News from EMVA By Thomas Lübkemeier


Looking back to a fully booked 16th EMVA conference in Dubrovnik, we are happy that the feedback we received was almost entirely positive. Donal Waide from BitFlow commented: ‘The business conference is the best European networking event for machine vision. It allows people from all disciplines in the machine vision network to talk either on a business or personal level.’ Jools Hudson from Gardasoft


Vision said: ‘I am new to machine vision and found the business conference to be extremely valuable. There is the opportunity to meet with many key industry players, including both suppliers and end users in a pleasant and informal setting.’ Eileen Zell from Active Silicon remarked that ‘it was well worth the trip from the US to see the varied and pertinent presentations’, while


www.imveurope.com


Juergen Reichenbach from Sick commented that the conference had a good mix of professional and up-to-date machine vision topics and more general economic talks. Looking ahead, the third European Machine Vision Forum will take place from 5 to 7 September in Bologna, Italy. The focal topic of this year’s conference, which aims to bring research and industry together, is: ‘Vision for Industry 4.0 and beyond’. The keynote on traceability


for Industry 4.0 will be given by Michele Leoni, global product business developer manufacturing at Datalogic. A vision standards session with Jochem Herrmann, Arnaud Darmont, Dr Friedrich Dierks and Dr Horst Heinol-Heikkinen with a subsequent panel discussion will deal with the role of standardisation in the context


@imveurope


of Industry 4.0. To register, visit www.emva-forum.org. The latest GenICam release,


version 2018.06, is available as a package download at www.emva.org/standards- technology/genicam/genicam- news. The new release includes reference implementation 3.1 with GenApi being the core of the GenICam standard, as well as GenICam SFNC 2.4. GenICam Version 2018.06 will be presented along with all other standard initiatives hosted under the G3 at the International Vision Standards Booth in hall 1 booth A75.2 at Vision 2018.


Last but not least, the 12th


International Vision Night, organised by the EMVA, takes place on 5 November, the evening before the Vision trade show starts. The registration link for this event can be found at www.emva.org.


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