LeddarTech Lab

Key Points:

• Ficosa's smart parking assistance system was developed with LeddarTech.
• The need for smart parking assistance.
• System architecture and development framework.
• Stages of development: From concept to commercialization.

Key Points

• How data enables building machine learning models used for perception systems
• The different types of data
• Explanation of the workflow: From sensor integration to validating perception software stacks
• How data enables expanded operation design domain
• Data acquisition standards for perception systems
• Why does it mean when a company announces that they have collected X thousand miles of data

Key Points

• How data enables building machine learning models used for perception systems
• The different types of data
• Explanation of the workflow: From sensor integration to validating perception software stacks
• How data enables expanded operation design domain
• Data acquisition standards for perception systems
• Why does it mean when a company announces that they have collected X thousand miles of data

On the second episode of the LeddarTech Podcast, host Michelle Dawn Mooney continues the discussion with Charles Boulanger, CEO of LeddarTech, and Manju Hegde, CEO of Uhnder about how the two companies tackle harsh weather performance, what happens when a sensor fails or provides conflicting data, and what is the outlook for ADAS. Is universal adoption just around the corner? Find out in this episode!

According to Forbes, about 1.3 million people die annually from road accidents, highlighting the role that advanced driver assistance systems (ADAS) have in delivering not only comfort but safety as well. The combination of digital radars and sensor fusion and perception may just be the solution to developing ADAS solutions that save lives.

“Sensor fusion is the solution to the increasing number of automobile accidents. Using only one sensor can promote safety but the fusion of two sensors has higher performance” explained Charles Boulanger

“Digital radar offers better resolution, contrast, and immunity to interference compared to analog radar” explained Manju Hegde. 

“We have moved to a three-year cycle,” Palao said. “That means the development of the future protocols will be on a three-year basis. So then, the next milestone will be in 2026 and the one afterwards in 2029. For the most immediate future, for 2026, the main goal is to tackle robustness. That’s one word that’s been mentioned many times in the 2030 roadmap.” Michelle Dawn Mooney, the host of ADAS for Road Safety, spoke with Pierre Olivier, Chief Technology Officer at LeddarTech, and Adriano Palao, Technical Manager ADAS/AD at Euro NCAP to discuss active road safety, ADAS, and perception systems.