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VERSES and Volvo Cars Demonstrate Pedestrian Vehicle Safety Advancement

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VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) has announced the initial results of its Genius™ Beta Partner collaboration with Volvo Cars. The companies have co-authored a paper demonstrating the use of VERSES' algorithms to predict the appearance of pedestrians, cyclists, and cars obscured behind stationary objects - an advancement beyond current autonomous vehicle AI capabilities.

The research, titled 'Navigation under uncertainty: trajectory prediction and occlusion reasoning with switching dynamical systems,' showcases a major improvement in autonomous vehicle safety. Using the Waymo open dataset, the experiments demonstrated significant enhancements in predicting animals, people, and objects entering the street from behind parked cars.

VERSES CEO Gabriel René stated that this advancement could help overcome a significant unsolved safety challenge in the autonomous vehicle industry, potentially paving the way for safer streets for all road users.

VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) ha annunciato i risultati iniziali della sua collaborazione Genius™ Beta Partner con Volvo Cars. Le aziende hanno co-autore un documento che dimostra l'uso degli algoritmi di VERSES per prevedere l'apparizione di pedoni, ciclisti e automobili nascosti dietro oggetti fermi - un passo avanti rispetto alle attuali capacità dell'IA dei veicoli autonomi.

La ricerca, intitolata 'Navigazione sotto incertezza: previsione delle traiettorie e ragionamento per occultamento con sistemi dinamici a commutazione', mostra un significativo miglioramento nella sicurezza dei veicoli autonomi. Utilizzando il dataset open di Waymo, gli esperimenti hanno dimostrato miglioramenti significativi nella previsione di animali, persone e oggetti che entrano nella strada da dietro le auto parcheggiate.

Il CEO di VERSES, Gabriel René, ha dichiarato che questo progresso potrebbe aiutare a superare una significativa sfida di sicurezza irrisolta nell'industria dei veicoli autonomi, aprendo potenzialmente la strada a strade più sicure per tutti gli utenti della strada.

VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) ha anunciado los resultados iniciales de su colaboración Genius™ Beta Partner con Volvo Cars. Las empresas han coescrito un documento que demuestra el uso de los algoritmos de VERSES para predecir la aparición de peatones, ciclistas y automóviles ocultos detrás de objetos estacionarios, un avance más allá de las capacidades actuales de la IA en vehículos autónomos.

La investigación, titulada 'Navegación bajo incertidumbre: predicción de trayectorias y razonamiento de oclusión con sistemas dinámicos cambiantes', muestra una mejora importante en la seguridad de los vehículos autónomos. Usando el conjunto de datos abierto de Waymo, los experimentos demostraron mejoras significativas en la predicción de animales, personas y objetos que ingresan a la calle desde detrás de coches estacionados.

El CEO de VERSES, Gabriel René, afirmó que este avance podría ayudar a superar un desafío de seguridad importante no resuelto en la industria de los vehículos autónomos, potencialmente allanando el camino para calles más seguras para todos los usuarios de la carretera.

VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF)는 볼보 자동차와의 Genius™ Beta Partner 협력의 초기 결과를 발표했습니다. 두 회사는 VERSES의 알고리즘을 사용하여 정지된 물체 뒤에 가려진 보행자, 자전거 및 자동차의 모습을 예측하는 방법을 보여주는 논문을 공동으로 작성했습니다. 이는 현재 자율주행차의 AI 기능을 넘어서는 발전입니다.

'불확실성 하의 내비게이션: 전환 동적 시스템을 통한 경로 예측 및 가리기 추론'이라는 제목의 이 연구는 자율주행차 안전성의 주요 개선을 보여줍니다. Waymo의 공개 데이터 세트를 사용한 실험은 주차된 차 뒤에서 도로로 들어오는 동물, 사람 및 물체를 예측하는 데 유의미한 향상을 보여주었습니다.

VERSES의 CEO인 가브리엘 레네(Gabriel René)는 이 발전이 자율주행차 산업에서 해결되지 않은 주요 안전 문제를 극복하는 데 도움이 될 수 있으며, 모든 도로 이용자를 위한 보다 안전한 도로를 여는 길이 될 수 있다고 말했습니다.

VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) a annoncé les résultats initiaux de sa collaboration Genius™ Beta Partner avec Volvo Cars. Les entreprises ont coécrit un document démontrant l'utilisation des algorithmes de VERSES pour prévoir l'apparition de piétons, de cyclistes et de voitures cachés derrière des objets stationnaires - une avancée au-delà des capacités actuelles de l'IA pour véhicules autonomes.

La recherche, intitulée 'Navigation sous incertitude : prédiction de trajectoire et raisonnement d'occlusion avec des systèmes dynamiques à changement', met en avant une grande amélioration de la sécurité des véhicules autonomes. En utilisant le jeu de données public de Waymo, les expériences ont montré des améliorations significatives dans la prédiction des animaux, des personnes et des objets entrant dans la rue depuis derrière des voitures garées.

Le PDG de VERSES, Gabriel René, a déclaré que cette avancée pourrait aider à surmonter un défi de sécurité majeur non résolu dans l'industrie des véhicules autonomes, ouvrant potentiellement la voie à des routes plus sûres pour tous les usagers de la route.

VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) hat die ersten Ergebnisse seiner Genius™ Beta Partner-Zusammenarbeit mit Volvo Cars bekannt gegeben. Die Unternehmen haben ein Papier verfasst, das die Nutzung der Algorithmen von VERSES demonstriert, um das Auftreten von Fußgängern, Radfahrern und Autos zu prognostizieren, die hinter stationären Objekten verborgen sind - ein Fortschritt, der über die aktuellen KI-Fähigkeiten autonomer Fahrzeuge hinausgeht.

Die Forschung mit dem Titel 'Navigation unter Unsicherheit: Trajektorienvorhersage und Oklusionsreasoning mit wechselnden dynamischen Systemen' zeigt eine maßgebliche Verbesserung der Sicherheit autonomer Fahrzeuge. Mit dem offenen Datensatz von Waymo zeigten die Experimente signifikante Verbesserungen bei der Vorhersage von Tieren, Menschen und Objekten, die von geparkten Autos auf die Straße treten.

Der CEO von VERSES, Gabriel René, erklärte, dass dieser Fortschritt helfen könnte, eine bedeutende ungelöste Sicherheitsherausforderung in der autonomen Fahrzeugbranche zu überwinden, und möglicherweise den Weg für sicherere Straßen für alle Verkehrsteilnehmer ebnen könnte.

Positive
  • Collaboration with Volvo Cars, a globally recognized leader in vehicle safety
  • Development of advanced AI algorithms for predicting obscured pedestrians and objects
  • Potential breakthrough in autonomous vehicle safety technology
  • Successful demonstration using Waymo open dataset
  • Publication of research paper showcasing the technology's capabilities
Negative
  • None.

Genius™ Aims to Provide Safer Autonomous Driving By Predicting and Avoiding Unseen Pedestrians

VANCOUVER, British Columbia, Oct. 21, 2024 (GLOBE NEWSWIRE) -- VERSES AI Inc. (CBOE:VERS) (OTCQX:VRSSF) ("VERSES" or the "Company”), a cognitive computing company specializing in next generation intelligent systems, today announces the initial results of the Genius™ Beta Partner collaboration and the publishing of a paper co-authored by research teams at both Volvo Cars and VERSES. The paper uses VERSES’ algorithms to predict the appearance of pedestrians, cyclists, and cars that are obscured behind stationary vehicles and objects. An advancement beyond current capabilities of autonomous vehicle AI.

“As the automotive industry progresses towards fully autonomous self-driving cars, predicting where unseen obstacles like people or bicyclists may be or which trajectory they may be on has been a significant unsolved safety challenge. We believe the inability of current autonomous driving systems to overcome this hurdle is holding back the AV industry worldwide. Volvo Cars is globally recognized for its unwavering commitment to vehicle safety. So, they were the perfect partner to work with to showcase how VERSES can help solve this problem,” said Gabriel René, CEO of VERSES. “We believe this research project with Volvo Cars; part of our Genius Beta project, demonstrates a major advancement in autonomous vehicle safety capability. We expect the research project to pave the way for safer streets for pedestrians, cyclists, cars, robots, and beyond."

The paper titled, “Navigation under uncertainty: trajectory prediction and occlusion reasoning with switching dynamical systems,” can be found on VERSES’ website or on Arxiv here: https://arxiv.org/html/2410.10653v1

The paper explores a way to predict the trajectory of movement for people, animals, and objects occurring behind stationary objects like parked cars to help vehicles and drivers avoid them if the people enter the street unexpectedly. The research presents completed experiments illustrating capabilities using the Waymo open dataset. The results demonstrate significant improvements in predicting animals, people, and objects entering the street; something that vehicles with current AI have not been able to do.

About VERSES

VERSES is a cognitive computing company building next-generation intelligent software systems modeled after the wisdom and genius of Nature. Designed around first principles found in science, physics and biology, our flagship product, Genius™, is a toolkit for developers to generate intelligent software agents that enhance existing applications with the ability to reason, plan, and learn. Imagine a Smarter World that elevates human potential through technology inspired by Nature. Learn more at verses.aiLinkedIn and X.

On behalf of the Company 
Gabriel René, Founder & CEO, VERSES AI Inc.
Press Inquiries: press@verses.ai 

Investor Relations Inquiries 
U.S., Matthew Selinger, Partner, Integrous Communications, mselinger@integcom.us 415-572-8152
Canada, Leo Karabelas, President, Focus Communications, info@fcir.ca 416-543-3120

Cautionary Note Regarding Forward-Looking Statements

When used in this press release, the words "estimate", "project", "belief", "anticipate", "intend", "expect", "plan", "predict", "may" or "should" and the negative of these words or such variations thereon or comparable terminology are intended to identify forward-looking statements and information. Although VERSES believes, in light of the experience of their respective officers and directors, current conditions and expected future developments and other factors that have been considered appropriate, that the expectations reflected in the forward-looking statements and information in this press release are reasonable, undue reliance should not be placed on them because the parties can give no assurance that such statements will prove to be correct. The forward-looking statements and information in this press release include, among other things, statements regarding the expectation that the research project will pave the way for safer streets for pedestrians, cyclists, cars, robots and beyond.

There are risks and uncertainties that may cause actual results to differ materially from those contemplated in those forward-looking statements and information. In making the forward-looking statements in this news release, the Company has applied various material assumptions. By their nature, forward-looking statements involve known and unknown risks, uncertainties and other factors which may cause our actual results, performance or achievements, or other future events, to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. There are a number of important factors that could cause VERSES actual results to differ materially from those indicated or implied by forward-looking statements and information. Such factors include, among others: that the research project will pave the way for safer streets for pedestrians, cyclists, cars, robots and beyond. The Company undertakes no obligation to comment on analyses, expectations or statements made by third parties in respect of its securities or its financial or operating results (as applicable).

Additionally, forward-looking statements involve a variety of known and unknown risks, uncertainties and other factors which may cause the actual plans, intentions, activities, results, performance or achievements of the Company to be materially different from any future plans, intentions, activities, results, performance or achievements expressed or implied by such forward-looking statements. Such risks include, without limitation: that the research project will not pave the way for safer streets for pedestrians, cyclists, cars, robots and beyond as expected by management or at all. VERSES cautions that the foregoing list of material factors is not exhaustive. When relying on VERSES’ forward-looking statements and information to make decisions, investors and others should carefully consider the foregoing factors and other uncertainties and potential events. VERSES has assumed that the material factors referred to in the previous paragraph will not cause such forward-looking statements and information to differ materially from actual results or events. However, the list of these factors is not exhaustive and is subject to change and there can be no assurance that such assumptions will reflect the actual outcome of such items or factors. The forward-looking information contained in this press release represents the expectations of VERSES as of the date of this press release and, accordingly, are subject to change after such date. VERSES does not undertake to update this information at any particular time except as required in accordance with applicable laws.


FAQ

What is the main achievement of VERSES AI's collaboration with Volvo Cars?

VERSES AI and Volvo Cars have developed algorithms that can predict the appearance of pedestrians, cyclists, and cars obscured behind stationary objects, advancing beyond current autonomous vehicle AI capabilities.

How does VERSES AI's technology improve autonomous vehicle safety?

The technology predicts the trajectory of movement for people, animals, and objects occurring behind stationary objects like parked cars, helping vehicles and drivers avoid potential collisions.

What dataset was used to demonstrate VERSES AI's technology in the research paper?

The research used the Waymo open dataset to demonstrate the capabilities of VERSES AI's technology in predicting obscured objects and pedestrians.

What is the title of the research paper published by VERSES AI and Volvo Cars?

The paper is titled 'Navigation under uncertainty: trajectory prediction and occlusion reasoning with switching dynamical systems.'

How can investors access the research paper co-authored by VERSES AI and Volvo Cars?

The paper can be found on VERSES' website or on Arxiv at https://arxiv.org/html/2410.10653v1.

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