PRIAUTO is a technology-driven company dedicated to proving-ground testing, evaluation and safety validation for intelligent connected vehicles. Focusing on key stages such as intelligent driving system development, production validation, approval testing and demonstration applications, PRIAUTO provides systematic test methodologies, standardized test targets, key testing equipment and integrated validation solutions.

The company is committed to building a high-confidence proving-ground testing and evaluation system for intelligent connected vehicles, supporting the safe development, reliable validation and large-scale deployment of intelligent driving technologies.

PRIAUTO provides a complete range of proving-ground testing products and solutions, including ADAS test targets, vulnerable road user targets, vehicle targets, roadside environment surrogates, child presence detection targets, child obstacle-avoidance targets for embodied AI systems, animal targets, target carriers, night-time testing systems, radar RCS measurement systems and integrated test platforms.

PRIAUTO originates from one of the early international research teams engaged in automotive active safety and AEB testing. Since 2010, the team has carried out systematic research at Indiana University–Purdue University Indianapolis, IUPUI, focusing on active safety assessment, vulnerable road user protection, intelligent vehicle test methods and testing equipment.

Building on more than a decade of research accumulation and engineering experience, PRIAUTO has transformed advanced academic achievements into standardized testing products and practical system solutions for the intelligent vehicle industry.

The company takes real-world traffic risk scenarios as the starting point, standardized test methods as the foundation, and high-fidelity test targets and automated testing equipment as the technical support. Through this approach, PRIAUTO helps OEMs, intelligent driving companies, testing organizations and research institutes establish safety validation systems that are repeatable, quantifiable and reliable.

To meet the safety validation needs of intelligent driving, intelligent cabins, and embodied AI systems, PRIAUTO has developed a comprehensive portfolio of test targets and key testing equipment. The product range covers ADAS test targets, vulnerable road user targets, vehicle targets, roadside environment surrogates, child presence detection (CPD) targets, child obstacle-avoidance targets for embodied AI, animal targets, target carriers, night-time testing systems, and radar RCS measurement systems. These products support safety testing and performance evaluation in proving-ground environments, in-cabin scenarios, robotic operating spaces, and complex traffic scenes.

For vulnerable road user testing, PRIAUTO provides adult pedestrian targets, child pedestrian targets, bicyclist targets, e-bike targets, motorcycle targets, powered tricycle targets and shared bicycle targets. These products can be used for AEB, FCW, VRU detection, sensor fusion, perception algorithm development and NCAP-related test scenarios. They are designed to reproduce the detectable characteristics of real road users across visual, millimeter-wave radar and LiDAR sensing dimensions, enabling repeatable and comparable testing conditions for intelligent driving systems.

For vehicle target testing, PRIAUTO offers passenger vehicle targets, 3D passenger vehicle targets, heavy-duty truck rear-end targets, dry van trailer targets, engineering vehicle targets and water sprinkler truck targets. These products support active safety testing related to passenger cars, commercial vehicles and complex road traffic participants, including forward collision warning, automatic emergency braking, target recognition, sensor performance evaluation and complex scenario validation.

For roadside environment testing, PRIAUTO provides metal guardrail surrogates, curb surrogates, grass and turf surrogates, shrub surrogates, central divider targets and other road infrastructure surrogates. These products help create realistic closed-course test environments and support the evaluation of road boundary recognition, scene understanding, obstacle avoidance decision-making and collision risk assessment.

For intelligent cabin testing, PRIAUTO focuses on child presence detection (CPD) targets. This product series is designed for the development, calibration, evaluation, and validation of in-cabin child presence detection systems. It can simulate the real presence of children of different ages inside the vehicle cabin, covering typical age groups such as 0-year-old, 1-year-old, 3-year-old, and 6-year-old children. Depending on test requirements, the targets can be configured with respiration, heartbeat, body temperature, eye movement, and posture adjustment functions. PRIAUTO CPD targets support millimeter-wave radar, UWB, Wi-Fi, vision, thermal imaging, and multi-sensor fusion detection solutions, providing high-fidelity, repeatable, and quantifiable test objects for intelligent cabin safety systems.

For embodied AI and service robot safety testing, PRIAUTO has further developed child obstacle-avoidance targets suitable for UL 3300-related test scenarios. These targets are designed for testing child detection, avoidance, deceleration and collision risk control capabilities of mobile robots, service robots, delivery robots, cleaning robots and other embodied AI systems. They can be used to validate robotic perception and obstacle avoidance performance when a child suddenly appears, remains stationary, moves at low speed, is partially occluded or is present in complex indoor and outdoor environments. By providing standardized targets with child-like appearance, body dimensions and multi-sensor detectable characteristics, PRIAUTO supports reliable human-robot coexistence safety validation for embodied AI systems.

In addition to the target portfolio, PRIAUTO also provides target carriers, traction systems, night-time testing systems, radar RCS measurement systems, data acquisition systems and integrated control systems. Together, these capabilities form a system-level testing framework covering test objects, test scenarios, motion control and data acquisition, supporting multi-scenario safety validation for intelligent driving, intelligent cabins and embodied AI applications.

As child presence detection, CPD, becomes an increasingly important part of global vehicle safety assessment, PRIAUTO has developed a high-fidelity CPD target system covering different child ages, postures and sensing technologies.

PRIAUTO CPD child targets are designed for the development, calibration, evaluation and validation of in-cabin child presence detection systems. They support repeatable and quantifiable testing under different seating positions, postures, occlusion conditions and sensor configurations.

The CPD target series can reproduce multiple detectable characteristics of real children, including body size, posture, physiological micro-motion, visual features and thermal characteristics. It supports validation for millimeter-wave radar, UWB, Wi-Fi, vision, thermal imaging and multi-sensor fusion detection solutions.

The product series covers 0-year-old, 1-year-old, 3-year-old and 6-year-old child targets. Depending on test requirements, the targets can be configured with respiration, heartbeat, body temperature, eye movement and posture adjustment functions, providing realistic validation conditions for intelligent cabin safety systems.

As service robots, mobile robots, delivery robots, cleaning robots and other embodied AI systems enter homes, campuses, commercial spaces and public environments, safety testing requirements in human-robot coexistence scenarios are growing rapidly. Children are a particularly sensitive group in these environments, making child recognition, avoidance and collision risk control important elements of robot safety validation.

PRIAUTO's UL 3300 child obstacle-avoidance targets for embodied AI safety testing are designed to evaluate robotic obstacle avoidance performance in scenarios where a child approaches, remains stationary, moves at low speed, suddenly appears, is partially occluded or is present in complex environments. These targets can reproduce child-like appearance, body proportions and multi-sensor detectable characteristics, providing standardized test objects for robotic vision, LiDAR, millimeter-wave radar, depth cameras and multi-sensor fusion systems.

These targets can be used not only for robot product development and algorithm optimization, but also for testing and evaluation by third-party testing organizations, safety certification bodies, research institutes and application demonstration projects. They provide safety validation support for embodied AI systems as they move from laboratory development to real-world deployment.

PRIAUTO attaches great importance to the development of international standards and test protocols. The company has long been involved in standardization work related to ADAS test targets, including pedestrian targets, bicyclist targets, roadside facility surrogates, heavy-duty vehicle targets and child presence detection surrogates.

As an important participant and leading contributor to ADAS test target standards within SAE and ISO, PRIAUTO plays a significant role in the standardization of multiple categories of test targets. This standardization capability strengthens the technical credibility of PRIAUTO products and enables the company to better support the requirements of C-NCAP, Euro NCAP, IIHS, ISO, SAE and other domestic and international testing systems.

PRIAUTO products are developed with careful consideration of key characteristics such as dimensions, appearance, radar response, LiDAR reflectivity, visual features, motion behavior, impact safety and reusability. This ensures that the products can meet the practical requirements of multi-sensor perception and active safety testing for intelligent driving systems.

With the vision of Drive Safe: Testing & Verifying L2–L5 Intelligent Vehicles, PRIAUTO provides proving-ground testing and validation support for intelligent vehicles at different automation levels.

The company continues to strengthen its core capabilities in standardized test targets, multi-modal sensing feature design, target motion and carrier platforms, test scenario construction, radar RCS measurement, night-time testing, data acquisition, test process management and integrated system solutions.

With strong standardization capabilities, advanced product development experience and a comprehensive testing equipment portfolio, PRIAUTO is committed to providing complete proving-ground testing solutions for intelligent connected vehicles. These solutions support the full process of intelligent driving safety validation, from R&D testing and performance evaluation to approval testing and demonstration applications.

The development of intelligent driving and embodied AI ultimately depends on safety. PRIAUTO remains focused on safety validation, supported by standardized test methods, high-fidelity test targets and integrated testing equipment. The company continues to serve the safe development, reliable validation and large-scale application of intelligent connected vehicles, intelligent cabins and embodied AI systems.

Looking ahead, PRIAUTO will continue to build on its technical expertise in active safety testing, ADAS target development, international standardization, proving-ground test system integration, intelligent cabin safety validation and embodied AI safety testing. The company will provide more professional, reliable and comprehensive testing solutions for the global intelligent vehicle and intelligent robotics industries, contributing to a safer, smarter and more connected future mobility and human-robot coexistence environment.