LeddarTech Announces the Launch of LeddarSim: Next Leap in Realistic Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) Simulation
LeddarTech (NASDAQ: LDTC) has launched LeddarSim, a next-generation simulation platform for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) development. The platform leverages AI to deliver multi-modality neural reconstruction of driving scenarios, including camera, radar, and LiDAR inputs, generating sensor-accurate, real-time renderings of real-world driving.
Key benefits include: 10x reduction in data and annotation costs, accelerated time-to-market through virtual testing of millions of scenarios, and enhanced simulation accuracy through data-driven, real-world scenarios. The platform supports multi-modal sensor simulation and achieves near-zero simulation gap between virtual testing and real-world performance. With the ADAS/AD simulation market projected to reach $4.6 billion by 2035, LeddarSim aims to address critical industry challenges in data validation and testing.
LeddarTech (NASDAQ: LDTC) ha lanciato LeddarSim, una piattaforma di simulazione di nuova generazione per lo sviluppo di Sistemi Avanzati di Assistenza alla Guida (ADAS) e Guida Autonoma (AD). La piattaforma utilizza l'intelligenza artificiale per offrire una ricostruzione neurale multimodale degli scenari di guida, integrando input da telecamere, radar e LiDAR, generando rappresentazioni in tempo reale e fedeli ai sensori di situazioni di guida reali.
I principali vantaggi includono una riduzione di 10 volte dei costi di dati e annotazioni, un'accelerazione del time-to-market grazie ai test virtuali di milioni di scenari e una maggiore precisione nella simulazione basata su scenari reali e dati concreti. La piattaforma supporta la simulazione di sensori multimodali e raggiunge un divario quasi nullo tra test virtuali e prestazioni nel mondo reale. Con il mercato della simulazione ADAS/AD previsto raggiungere i 4,6 miliardi di dollari entro il 2035, LeddarSim si propone di affrontare le sfide cruciali del settore nella validazione dei dati e nei test.
LeddarTech (NASDAQ: LDTC) ha lanzado LeddarSim, una plataforma de simulación de próxima generación para el desarrollo de Sistemas Avanzados de Asistencia al Conductor (ADAS) y Conducción Autónoma (AD). La plataforma utiliza IA para ofrecer una reconstrucción neuronal multimodal de escenarios de conducción, incluyendo entradas de cámaras, radar y LiDAR, generando representaciones en tiempo real y precisas según los sensores de situaciones de conducción reales.
Los beneficios clave incluyen una reducción de 10 veces en los costos de datos y anotaciones, una aceleración del tiempo de comercialización mediante pruebas virtuales de millones de escenarios, y una mayor precisión en la simulación gracias a escenarios del mundo real basados en datos. La plataforma soporta la simulación de sensores multimodales y logra una brecha de simulación casi nula entre las pruebas virtuales y el rendimiento en el mundo real. Con un mercado de simulación ADAS/AD proyectado para alcanzar los 4.6 mil millones de dólares para 2035, LeddarSim busca abordar los desafíos críticos de la industria en validación de datos y pruebas.
LeddarTech (NASDAQ: LDTC)는 첨단 운전자 지원 시스템(ADAS) 및 자율주행(AD) 개발을 위한 차세대 시뮬레이션 플랫폼인 LeddarSim을 출시했습니다. 이 플랫폼은 AI를 활용해 카메라, 레이더, LiDAR 입력을 포함한 다중 모달리티 신경망 기반 주행 시나리오 재구성을 제공하며, 실제 주행 환경을 센서 정확도에 맞춰 실시간으로 렌더링합니다.
주요 이점으로는 데이터 및 주석 비용을 10배 절감하고, 수백만 개 시나리오의 가상 테스트를 통해 시장 출시 기간을 단축하며, 데이터 기반 실제 시나리오를 통해 시뮬레이션 정확도를 향상시키는 점이 있습니다. 이 플랫폼은 다중 모달 센서 시뮬레이션을 지원하며, 가상 테스트와 실제 성능 간 거의 차이가 없는 시뮬레이션 갭을 달성합니다. ADAS/AD 시뮬레이션 시장이 2035년까지 46억 달러에 이를 것으로 예상되는 가운데, LeddarSim은 데이터 검증 및 테스트라는 산업의 핵심 과제를 해결하는 것을 목표로 합니다.
LeddarTech (NASDAQ : LDTC) a lancé LeddarSim, une plateforme de simulation de nouvelle génération pour le développement des systèmes avancés d’aide à la conduite (ADAS) et de la conduite autonome (AD). Cette plateforme utilise l’IA pour offrir une reconstruction neuronale multimodale des scénarios de conduite, intégrant les données des caméras, radars et LiDAR, générant des rendus en temps réel fidèles aux capteurs du monde réel.
Les principaux avantages incluent une réduction par 10 des coûts liés aux données et annotations, une accélération de la mise sur le marché grâce aux tests virtuels de millions de scénarios, ainsi qu’une précision accrue de la simulation grâce à des scénarios réels basés sur des données. La plateforme prend en charge la simulation multi-capteurs et atteint un écart de simulation quasi nul entre les tests virtuels et les performances réelles. Avec un marché de la simulation ADAS/AD prévu à 4,6 milliards de dollars d’ici 2035, LeddarSim vise à relever les défis majeurs de l’industrie en matière de validation des données et de tests.
LeddarTech (NASDAQ: LDTC) hat LeddarSim vorgestellt, eine Simulationsplattform der nächsten Generation für die Entwicklung von Advanced Driver Assistance Systems (ADAS) und Autonomem Fahren (AD). Die Plattform nutzt KI, um eine multimodale neuronale Rekonstruktion von Fahrszenarien zu ermöglichen, einschließlich Kamera-, Radar- und LiDAR-Daten, und erzeugt sensor-genaue, Echtzeit-Darstellungen realer Fahrsituationen.
Zu den Hauptvorteilen zählen eine 10-fache Reduzierung der Daten- und Annotationskosten, eine beschleunigte Markteinführung durch virtuelle Tests von Millionen Szenarien sowie eine verbesserte Simulationsgenauigkeit durch datenbasierte, reale Szenarien. Die Plattform unterstützt multimodale Sensorsimulation und erreicht eine nahezu null Simulation-Lücke zwischen virtuellen Tests und realer Leistung. Mit einem prognostizierten ADAS/AD-Simulationsmarkt von 4,6 Milliarden US-Dollar bis 2035 zielt LeddarSim darauf ab, kritische Herausforderungen der Branche bei Datenvalidierung und Tests zu lösen.
- Platform achieves 10x reduction in data and annotation costs
- Enables significant savings in non-recurring engineering expenses
- Targets growing market expected to reach $4.6 billion by 2035
- Offers flexible integration with existing simulation toolchains
- None.
Insights
LeddarTech's new LeddarSim platform offers breakthrough AI-powered ADAS simulation with potential to disrupt the growing $4.6B simulation market.
LeddarTech has launched LeddarSim, an AI-powered simulation platform designed to revolutionize how automotive companies develop Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) solutions. Unlike traditional simulators that struggle with real-world fidelity, this platform generates multi-modal (camera, radar, LiDAR) sensor-accurate simulations based on real driving data rather than synthetic environments.
The technical architecture represents a significant advancement over existing solutions by utilizing neural reconstruction to create scenarios that closely match real-world conditions—what the company calls a "near-zero simulation gap". This approach addresses one of the industry's most persistent challenges: the disconnect between simulation performance and actual road performance.
From a market perspective, LeddarSim positions LeddarTech competitively in the automotive simulation space, which is projected to reach
The timing is strategic as regulatory requirements for advanced safety systems increase globally, forcing manufacturers to validate increasingly complex systems across diverse scenarios. LeddarSim's ability to recreate regional driving conditions could be particularly valuable for companies targeting multiple markets with different driving environments and regulations.
QUEBEC CITY, Canada, May 14, 2025 (GLOBE NEWSWIRE) -- LeddarTech® Holdings Inc. (“LeddarTech”) (Nasdaq: LDTC), an AI-powered software company recognized for its innovation in advanced driver assistance systems (ADAS) and autonomous driving (AD), is pleased to announce the launch of LeddarSim™, a next-generation simulation platform purposely built to reduce the gap between virtual testing and real-world deployment.
LeddarSim redefines the standards of ADAS and AD development by closing the long-standing simulation gap through delivering a breakthrough multi-modality neural reconstruction of driving scenarios, including camera, radar and LiDAR inputs. The platform generates sensor-accurate, real-time renderings of real-world driving, resulting in a high-fidelity environment that empowers developers to train, test and validate perception models under conditions that mirror real-life complexity and dynamics.
Anticipated Benefits to Automotive OEMs and Tier 1 Suppliers:
- Accelerate Time-to-Market: LeddarSim allows ADAS/AD engineers to reconstruct and test millions of configurable scenarios virtually, significantly reducing development cycles and speeding up validation.
- Cut Costs, Not Corners: LeddarSim offers a cost-effective solution without compromising accuracy, leading to a 10x reduction in data and annotation costs and significant savings in non-recurring engineering (NRE) expenses.
- Design Once, Deploy Anywhere: LeddarSim’s flexibility allows for easy adaptation of sensor setups, vehicle types and regional driving conditions, enabling scalable development across various platforms.
- Data-Driven Simulation: Unlike synthetic environments, LeddarSim builds realistic scenarios directly from real-world data, enhancing the accuracy and relevance of simulations.
- Multi-Modal Sensor Support: LeddarSim can simulate data from cameras, radar and LiDAR simultaneously, optimizing and validating multi-sensor perception systems.
- Near-Zero Simulation Gap: LeddarSim uses advanced AI algorithms ensuring fidelity to real-world conditions; this comprehensive approach minimizes the gap between virtual testing and real-world performance.
“Traditional simulation platforms struggle to match the unpredictability and nuance of real-world driving,” said Pierre Olivier, CTO of LeddarTech. “With LeddarSim, we’ve managed to design a solution that achieves a near-zero simulation gap. By accelerating testing and validation cycles, LeddarSim empowers automotive OEMs and Tier 1 suppliers to bring next-generation ADAS and autonomous driving solutions to market faster, with greater confidence in performance and safety.”
Antonio Polo, Sr. Vice-President of Product and Business Development at LeddarTech, added: “Automotive companies face exponential challenges in the cost, complexity and scale of the data required to deploy safety-compliant and regulation-ready ADAS and AD systems at scale. LeddarSim brings the latest advances in AI-powered, multi-modal sensor dataset generation to recreate real-world driving scenarios with high fidelity. We believe LeddarSim fills a critical gap in the market. As the demand for simulation tools grows—with the industry expected to surpass
For more information on LeddarSim™, please contact us or visit the LeddarSim page.
About LeddarTech
A global software company founded in 2007 and headquartered in Quebec City with additional R&D centers in Montreal and Tel Aviv, Israel, LeddarTech develops and provides comprehensive AI-based low-level sensor fusion and perception software solutions that enable the deployment of ADAS, autonomous driving (AD) and parking applications. LeddarTech’s automotive-grade software applies advanced AI and computer vision algorithms to generate accurate 3D models of the environment to achieve better decision making and safer navigation. This high-performance, scalable, cost-effective technology is available to OEMs and Tier 1-2 suppliers to efficiently implement automotive and off-road vehicle ADAS solutions.
LeddarTech is responsible for several remote-sensing innovations, with over 190 patent applications (112 granted) that enhance ADAS, AD and parking capabilities. Better awareness around the vehicle is critical in making global mobility safer, more efficient, sustainable and affordable: this is what drives LeddarTech to seek to become the most widely adopted sensor fusion and perception software solution.
LeddarTech might, in the scope of collaborations, partnerships and projects, from time to time, collect with test vehicles personal information, i.e., information that directly or indirectly identifies members of the public. Collected personal information may be processed, used, stored and communicated by LeddarTech within the scope of developing and training our software and products. For further information about the processing activities, which include the collection, use, storage and communication of personal information, as well as the associated personal information protection rights and how to exercise them, please consult LeddarTech’s Privacy Policy.
Additional information about LeddarTech is accessible at www.leddartech.com and on LinkedIn, Twitter (X), Facebook and YouTube.
Forward-Looking Statements
Certain statements contained in this Press Release may be considered forward-looking statements within the meaning of the U.S. Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended (which forward-looking statements also include forward-looking statements and forward-looking information within the meaning of applicable Canadian securities laws), including, but not limited to, statements relating to LeddarTech’s anticipated strategy, future operations, prospects, objectives and financial projections and other financial metrics, as well as expectations regarding the anticipated performance, adoption and commercialization of its products. Forward-looking statements generally include statements that are predictive in nature and depend upon or refer to future events or conditions, and include words such as “may,” “will,” “should,” “would,” “expect,” “anticipate,” “plan,” “likely,” “believe,” “estimate,” “project,” “intend” and other similar expressions among others. Statements that are not historical facts are forward-looking statements. Forward-looking statements are based on current beliefs and assumptions that are subject to risks and uncertainties and are not guarantees of future performance. Actual results could differ materially from those contained in any forward-looking statement as a result of various factors, including, without limitation: (i) our ability to timely access sufficient capital and financing on favorable terms or at all; (ii) our ability to maintain compliance with our debt covenants, including our ability to enter into any forbearance agreements, waivers or amendments with, or obtain other relief from, our lenders as needed; (iii) our ability to execute on our business model, achieve design wins and generate meaningful revenue; (iv) our ability to successfully scale and commercialize our product offerings, including through strategic collaborations or otherwise; (v) delays or cost overruns in product development, testing, validation or release; (vi) the potential for limitations in simulation fidelity, coverage or performance when compared to real-world datasets or field testing; (vii) our ability to obtain, meet and maintain the evolving technical, regulatory or safety requirements applicable to simulation tools used in regulated or performance-critical domains, such as automotive applications; (viii) customer hesitancy or delays in adoption due to integration challenges, concerns about validation equivalency or compatibility with customer workflows, data formats or toolchains; (ix) the potential for claims of intellectual property infringement or legal exposure related to simulation models, datasets or output reproducibility; (x) changes in our strategy, future operations, financial position, estimated revenues and losses, projected costs and plans; (xi) changes in general economic and/or industry-specific conditions; (xii) our ability to retain, attract and hire key personnel; (xiii) potential adverse changes to relationships with our customers, employees, suppliers or other parties; (xiv) legislative, regulatory and economic developments; (xv) the outcome of any known and unknown litigation and regulatory proceedings; (xvi) unpredictability and severity of catastrophic events, including, but not limited to, acts of terrorism, outbreak of war or hostilities and any epidemic, pandemic or disease outbreak, as well as management’s response to any of the aforementioned factors; and (xvii) other risk factors as detailed from time to time in LeddarTech’s reports filed with the U.S. Securities and Exchange Commission (the “SEC”), including the risk factors contained in LeddarTech’s Form 20-F filed with the SEC. The foregoing list of important factors is not exhaustive. Except as required by applicable law, LeddarTech does not undertake any obligation to revise or update any forward-looking statement, or to make any other forward-looking statements, whether as a result of new information, future events or otherwise.
Contact:
Maram Fityani, Media and Public Relations, LeddarTech Holdings Inc.
Tel.: + 1-418-653-9000 ext. 623, maram.fityani@leddartech.com
- Investor relations website: investors.leddartech.com
- Investor relations contact: Mike Bishop, mike@bishopir.com
Leddar, LeddarTech, LeddarVision, LeddarSP, VAYADrive, VayaVision and related logos are trademarks or registered trademarks of LeddarTech Holdings Inc. and its subsidiaries. All other brands, product names and marks are or may be trademarks or registered trademarks used to identify products or services of their respective owners.
LeddarTech Holdings Inc. is a public company listed on the Nasdaq under the ticker symbol “LDTC.”
FAQ
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