Product Overview


The newly launched LVS-2+ is a comprehensive fusion and perception software stack supporting premium surround-view L2/L2+ ADAS highway assistance and 5-star NCAP 2025/GSR 2022 safety applications. LeddarVision™ low-level fusion (LLF) and perception technology enables implementation of entry-level to premium ADAS utilizing a single architectural approach, efficiently scaling computational power with sensor additions and reducing rework efforts with sensor changes. Based on LeddarVision architecture, LVS-2+ efficiently extends the LVF front-view product family 1VxR sensor configuration to a 5V5R configuration, enhancing support to TJA and HWA applications, enabling automated lane changes, overtaking and extended speed range adaptive cruise control (ACC).

Features and Benefits

LVS-2+ implements a premium fusion and perception, positioning and prediction stack handling sensors’ interface, offline and online calibration and diagnostics, sensor synchronization, sensor fusion, object detection and classification, extended to include unclassified objects and events (e.g., cut-in), continuous tracking and stabilization, free space detection, road model, comprehensive traffic signs detection, highway traffic light detection, vehicle odometry interface, ego-motion localization and global localization with HD Map input.

LVS-2+ software stack further provides ability to fuse external sensors such as HD Map and V2X into a single and unified environmental model, thus enhancing ADAS features support (e.g., high-curvature ramps). LVS-2+ also extends safety features support with trajectory prediction, perception decomposition, ODD analysis, sensor coverage and health monitoring.

Product Family

LVS-2+ product is part of a family of LeddarVision products targeting entry- to premium-level ADAS. A comprehensive roadmap provides growing features support for different market segments. LVF companion product family targets entry-level to premium front-view ADAS, with 1V2R to 1V5R sensor configuration, providing economical solutions to support GSR and 5-star NCAP 2025 with comprehensive perception features.

Hardware and Certifications

Hardware Platform


Sensor configuration: 5V5R
Front camera: One 3 Mpx camera 120° FoV
Surround cameras: Four 1.3 Mpx camera 190° FoV
Front radar: One medium-range radar (Continental SRR520 or similar)
Corner radars: Four short-range radars (Continental SRR520 or similar)



ASPICE: Developed according to ASPICE L2, targeted by Q3 2024
ASIL-B: Certification targeted

Product Documentation

For more product specifications and roadmap information, download the LeddarVision™ LVS-2+ Product Brief

LVS-2+ Product Brief

Related Information

Benefits of Low-Level Sensor Fusion for ADAS

Tech Note – This document explains the principle, configurations and workings of sensor fusion and demonstrates a practical application of sensor fusion in ADAS through attitude estimation, and concludes by presenting the commercially available solution in the market today.

Download the Tech Note

Hailo AI Acceleration Empowers 360° Perception

Video – Today’s ADAS, primarily focused on front-view perception, can be enhanced by using full surround situational awareness. However, to achieve this 360° perception, significant growth in AI computing power is needed to process input from more sensors and more complex applications. The LeddarVision fusion and perception stack, empowered by the Hailo-8™ AI processor, enables a highly cost-effective and power-efficient solution for premium L2+ and higher ADAS ECUs.

Watch the Hailo Video

Low-Level Sensor Fusion and Perception for NCAP

Blog Post – An introduction to new car assessment programs (NCAP), the role they play in enabling road safety and the various NCAP programs across the world. The blog specifically examines how the U.S. and Europe NCAP have embraced technology, and seeks to highlight the growing importance of advanced driver assistance systems (ADAS) in providing safety to road users, and the shift in approach to safety from accident protection to accident avoidance.

Read the Blog Post