Artificial Intelligence

Collaborative programme to assess sensors for autonomous vehicles

6th July 2018
Alex Lynn
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It has been announced by Leti, Transdev and IRT Nanoelec, that they are collaborating on a pilot program to characterise and assess LiDAR sensors to improve performance and safety of autonomous vehicles.

Transdev’s latest innovative transportation technologies allow the operation of fleets of autonomous vehicles for shared mobility. The perception of the environment through sensors is essential to offer the best client experience in terms of comfort and operation speed guaranteeing the required level of safety and security. Evaluating sensor effectiveness and robustness is critical to develop the Transdev’s Autonomous Transport System that will allow the operation of autonomous vehicles fleets in a maximum of environmental conditions safely and securely.

In the pilot program, 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 tires 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.

Leti CEO Emmanuel Sabonnadière, stated: “As an innovative supplier of autonomous transportation vehicles for smart cities, Transdev is leading the procession toward responsive, efficient and safe services with buses and shuttles. This project will build on Leti's sensor fusion knowhow and sensor development expertise to strengthen Transdev’s testing and evaluation of sensors for its vehicles.”

Yann Leriche, Transdev’s CEO North America, added: “Providing the best client experience with the guarantee of safety, security and quality of service, will confirm Transdev as a pioneer in integrating autonomous transport systems into global mobility networks”.

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