Valeo’s Post

Witnessing the rapid advancements in ADAS features is truly inspiring! Undoubtedly, with this momentum, we'll reach the next level of ADAS (Advanced Driver-Assistance Systems) sooner than we think. A big shoutout to Valeo for their cutting-edge research and technology – it's truly impressive! I had the pleasure of collaborating with Valeo engineers on a new car development project for an OEM, and their expertise, innovative solutions, and support were invaluable. The video below showcases a perfect example of leveraging new technology to improve our lives. #ADAS #Valeo #Innovation #FutureofMobility

We know Safety at Speed is imperative for high-speed highway autonomy, but how is it achieved? AEye's founder and CTO Luis Dussan breaks down the importance of an adaptive lidar, and its role in giving ADAS systems the most important information quickly to make reliable, timely decisions and avoid unsafe conditions. #AutomotiveSafety #ADAS #SafetyatSpeed

Detection and Tracking of Moving Objects Using a Roadside LiDAR System Abstract: Monitoring vehicles and pedestrians in urban environments, as required in autonomous/assisted driving, smart crossing, and traffic surveillance, can be performed by means of different systems that use camera, RADAR, or LiDAR sensors. The systems based on the use of the most recent high-resolution LiDARs, characterized by high data throughputs, increase the demand for significant hardware resources, in terms of both storage capabilities and processing units. These hardware resources are supposed to be locally connected to the same system, since bulk transfers to remote units for exploiting cloud services would imply excessive latencies. As the computational effort of the processing tasks seems out-of-reach for low-cost processors, powerful workstations are typically deployed to execute them. Published in: IEEE Instrumentation & Measurement Magazine ( Volume: 27, Issue: 1, February 2024)

ADAS utilizes sensors such as radar, sonar, lidar, and cameras to perceive the world around the vehicle to avoid or mitigate the effects of a crash, and need to be precisely aimed and calibrated to function correctly.   A sensor or camera even slightly out of alignment could result in its scanning area being off-axis by 50 feet or more, which might cause it to miss hazards. For those new to working with ADAS, this guide illustrates a vehicle’s potential ADAS systems, their field of view, and what they monitor.   To Learn More, Visit: https://autel.cc/ADASinfo #autel #auteltools #adas

One crucial factor enabling this level of autonomy safely and reliably is the accuracy of localization and positioning. Our latest illustrator explains how traditional technologies like LIDAR, cameras, and GPS are limited, particularly in challenging environments or when faced with sensor failures. Click the link to compare #positioning technologies:

Curious about the practical applications of LiDAR technology in cross-country mapping for autonomous vehicle proving grounds? 🚗 Join us for a webinar session where Bálint Vanek from HUN-REN SZTAKI (Institute for Computer Science and Control), in collaboration with Budapest University of Technology and Economics, will present this project. Key highlights include: 💡 A review of the flight planning and data-capturing campaigns using a novel fixed-wing UAS platform for LiDAR (with the YellowScan Mapper+) and RGB data collection. 💡 An outline of the processing steps, from classification to Geographic Information System (GIS) analyses. These steps produce essential data for generating cross-country movement maps (CCM), crucial for determining ground vehicle trajectories across diverse field conditions. Date: Thursday 7th March Time: 4:00 PM (CET) Duration: Approx. 40 minutes + 10 minutes Q&A. Register here 👉https://bit.ly/3wluBku Can't watch it live that day? Register above to get the replay! #LiDAR #UAS #Mapping #Automotive #Webinar

The specific components that make up ADAS, such as sensors (like radar, lidar, and cameras), control systems, and human-machine interfaces. It explains the function of each component and how they work together to enhance vehicle safety.https://https://lnkd.in/g3HTfviZ

1 single sensor = 1 self driving car. bitsensing Inc.‘s 4D „Air“ #radar solving automtoive vision? Came across this keynote from bitsensing Inc.. Really really interesting talk ranging around: 👉 conventional radar’s limitations 👉 how they’re adding 3rd dimension to radar 👉 + 1D velocity measurements Makes 4D #radar. Ready to (allegedly) „single handedly“ power self driving cars vision. What you think about this? How does it compare to 3/4D ToF and FMCW lidar solutions?