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2024/07
Nullmax Launches 'Nullmax Intelligence': End-to-End Autonomous Driving Technology
On July 16th, Nullmax officially unveil the next generation of autonomous driving technology, Nullmax Intelligence (NI). This new technology features vision only, map-free, and end to end multimodal capabilities to advance automotive intelligence. The NI System includes an innovative multimodal model and a brain-inspired safety model, endowing vehicles with sensory capabilities akin to seeing, hearing, and reading. It outputs visual results, scene descriptions, and driving behaviors. With this system, Nullmax aims to achieve full-scenario autonomous driving by 2025 and expand AI capabilities to fields such as passenger transportation, cargo delivery, and robotics, enabling interaction with the physical world through visual observation and cognitive thinking. Advancing Intelligence and Accelerating Evolution In recent years, automotive intelligence has rapidly developed, with autonomous driving…
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27
2025/08
Nullmax Signs MOU with Leading European Automaker to Launch New Era of “AI-Defined Vehicles”
Nullmax, a global pioneer in autonomous driving, today announced that it has officially signed a Memorandum of Understanding (MOU) with a leading European OEM to embark on deep collaboration around the concept of “AI-Defined Vehicles.” As part of the partnership, Nullmax will work to vertically integrate the automotive value chain and accelerate the development of a new-generation, L4-level AI-Defined Vehicle designed for future urban mobility. The first concept model is expected to debut in 2026, marking a significant milestone in driving the large-scale deployment of intelligent driving solutions across multiple levels and scenarios worldwide, and redefining intelligent mobility. With a forward-looking vision for the global mobility revolution, Nullmax is deepening its AI-Defined Vehicle strategy and seizing opportunities brought by industry…
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Nullmax Paper Accepted at ICCV 2025: HiP-AD Introduces a Novel One-Stage End-to-End Architecture for Autonomous DrivingOn June 25th, the International Conference on Computer Vision (ICCV 2025) officially announced its list of accepted papers. Nullmax’s perception team has made it to the list with its latest research on autonomous driving planning and decision-making: "HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder." This achievement further demonstrates Nullmax’s deep expertise and innovation in core end-to-end autonomous driving technologies. Paper link: https://arxiv.org/abs/2503.08612 ICCV, organized by the IEEE, is one of the world’s top three academic conferences in computer vision. Held biennially, ICCV attracts cutting-edge research from both academia and industry worldwide. ICCV…02 2025/07Press Release
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Nullmax AEB System: Return to the Essence of Driving SafetyAs automobiles are becoming increasingly intelligent, the AEB (Automatic Emergency Braking) system has always been a critical "must-have" for driving safety . Praised for its excellence in accident prevention and injury reduction, it is increasingly integrated into various vehicle models. Today, with the upgrade of camera, MMW (Millimeter-Wave) radar, and other sensor configurations, as well as the accelerated advancement of ADAS technologies, AEB systems are rapidly progressing toward high-performance and high-reliability benchmarks. As a autonomous driving company, Nullmax believes that developing a mature, reliable, and high-performance AEB system requires not only efficient perception algorithms and highly reliable sensor hardware but…30 2025/05Blog
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Nullmax's Vision-Only Tech: Eyes for Autonomous Driving and Robotics to Explore the WorldDriving with human-like abilities has long been seen as the key to realizing autonomous driving. Since vision is the most important sense for humans to perceive their environment, it is similarly vital for autonomous vehicles (AVs). Consequently, “vision-only” technology, which does not use LiDAR or millimeter-wave radar to perceive a vehicle's surroundings, is considered a core capability not only for AVs but also for the next generation of robotics. By leveraging AI and cameras, machines can recognize colors, shapes, textures, and spatial relationships in the same way humans do, becoming accurately aware of their surroundings. For example, an AV uses…03 2024/09Blog
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Explore Autonomous Driving with MLF: More Efficient and Easier to Scale-UpIn recent years, autonomous driving has made remarkable advancements. However, many autonomous driving systems suffer from insufficient generalization, struggling to expand operational ranges and handle unseen scenarios. These limitations often stem from reliance on traditional manual programming and rule-based algorithms, which cannot cover all real-world driving situations. Recognizing the need for a more efficient and intelligent approach for next-generation autonomous driving, Nullmax, a pioneer in autonomous driving and embodied AI, put forward the Machine Learning First (MLF) strategy. This forward-thinking development philosophy prioritizes the use of machine learning (ML) technologies to address challenges and optimize performance, replacing traditional rule-based algorithms.…03 2024/06Blog
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Nullmax Introduces New Vision Technologies to Boost Self-Driving Performance, Delivering Exceptional Mobility ExperienceNullmax, a pioneering leader in autonomous driving technology, is introducing a suite of new vision technologies for perception to enhance the autonomous driving capabilities. These technologies include dynamic and static scene understanding, such as 3D lane detection, 3D object detection, and real-time local map , aimed at delivering exceptional autonomous driving experience. Perception is the upstream section and foundation of autonomous driving, with vision perception playing a crucial role. The quality of vision perception directly impacts the capabilities of autonomous driving systems, especially for enriching functionalities and achieving peak performance. Globally, there is significant demand for mass-producible vision perception in…14 2024/05Blog
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Nullmax Delivers Reliable Autonomous Driving Solution to Top China's OEMNullmax, a leading autonomous driving company, has recently announced the successful delivery of its MaxDrive autonomous driving solution to one of China's top OEMs. Nullmax is at the forefront of developing innovative solutions for autonomous driving. With a commitment to safety, efficiency, and performance, Nullmax's technologies are designed to meet the diverse needs of OEMs and end users alike. The MaxDrive is the world's first 8 TOPS solution capable of full-scene driving and parking. This autonomous driving solution is powered by a single TDA4 chip and utilizes front-view and fisheye cameras to achieve a range of ADAS (Advanced Driver-Assistance Systems) functions, including…16 2024/04Blog
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Nullmax Upgrades BEV-AI Architecture of Self-Driving to Build End-to-End Solution for High-Level AutonomyNullmax, a leading provider of ADAS/AD solutions and a pioneer in artificial intelligence, announces a major upgrade to its BEV-AI autonomous driving technology architecture. The new architecture integrates learning-based planning methods and perfects its algorithms, toolchains, and infrastructure. This upgrade enables the delivery of a comprehensive end-to-end AI system capable of achieving Level 3 and higher autonomous driving capabilities. Introduced to autonomous driving perception in 2020, Nullmax’s BEV-AI architecture was first developed to fuse various perception data from an unlimited number and variety of sensors and continued to iterate and evolve over the past years. Now, Nullmax has achieved a…28 2024/03Blog
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QAF2D: Nullmax Earns CVPR 2024 Recognition for Innovative 3D Object DetectionRecently, the Nullmax Perception Team's research paper, "Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors," was accepted at CVPR 2024. This prestigious recognition affirms Nullmax's innovative scientific research in the field of autonomous driving. CVPR, the IEEE Conference on Computer Vision and Pattern Recognition, is a premier event in the computer vision and pattern recognition community, renowned for its rigorous standards and global influence. In this paper, Nullmax's team introduced the QAF2D (Query Anchor From 2D) method. This innovative approach significantly enhances multi-camera 3D object detection by leveraging 2D detection results to guide the generation of 3D query anchors.…27 2024/02Press ReleaseBlog
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Advanced Research: Nullmax's Perception Paper Accepted by RA-LNullmax Perception Team's research paper, "Multi-Correlation Siamese Transformer Network with Dense Connection for 3D Single Object Tracking," was accepted at IEEE Robotics and Automation Letters (RA-L). This recognition reaffirms Nullmax's R&D prowess. The paper introduces an innovative Transformer Siamese network, demonstrating excellent performance and generalization in sparse point cloud environments. This advancement enhances Nullmax's multi-modal perception capabilities, vital for the future of autonomous driving. Paper link: arxiv.org/abs/2312.11051 Code repository: github.com/liangp/MCSTN-3DSOT Main Content of the Paper The proposed network incorporates multiple stages of feature correlation using sparse pillar features, applying self-attention and cross-attention mechanisms to enhance 3D single-object tracking.…18 2024/01Blog
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