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PRIAUTO Vehicle Targets: High-Fidelity Vehicle Surrogate Solutions for ADAS and Intelligent Driving Safety Validation
Created on 05.21
As ADAS, AEB, FCW, and intelligent driving systems evolve from standard passenger-car scenarios to more complex mixed-traffic environments, vehicle targets have become essential test equipment for proving-ground safety validation. In real traffic, intelligent driving systems must recognize not only standard passenger vehicles, but also SUVs, heavy-duty trucks, dry van trailers, engineering vehicles, water sprinkler trucks, electric delivery tricycles, and other vehicle types under different speeds, angles, lighting conditions, and collision risk scenarios.
To support intelligent connected vehicle testing and evaluation, PRIAUTO has developed a comprehensive vehicle target portfolio covering 3D passenger vehicle targets, SUV passenger vehicle targets, passenger vehicle rear-end targets, passenger vehicle head/tail targets, 3D passenger vehicle targets with lighting, heavy-duty truck rear-end targets, stationary dry van trailer targets, water sprinkler truck targets, engineering industrial vehicle targets and Chinese powered tricycle targets.
These products can be used for C-NCAP, Euro NCAP, C-IASI, IIHS, i-VISTA, the ISO 19206 series and enterprise R&D validation scenarios, supporting Car-to-Car AEB, forward collision warning, rear-end collision prevention, offset rear-end testing, night-time vehicle recognition, large-vehicle detection, special-vehicle recognition, multi-sensor fusion and complex scenario safety validation.
Important Participation in ISO 19206-11 Heavy-Duty Truck Target Standardization
In vehicle target standardization, PRIAUTO is not only a product developer, but also an important participant in international standardization. As an important participating organization in ISO 19206-11 for heavy-duty truck targets, the PRIAUTO team has been actively involved in key technical work related to heavy-duty truck target dimensions, rear-end structure features, visual characteristics, 77GHz millimeter-wave radar RCS, LiDAR reflectivity, impactable structure, test safety and reusability.
Heavy-duty truck rear-end targets are among the most challenging categories in vehicle target development. Compared with conventional passenger vehicle targets, heavy-duty trucks have taller bodies, wider rear structures, more complex reflective markings, stronger radar reflection characteristics and more severe rear-end crash scenarios. If an intelligent driving system cannot reliably recognize the rear of a heavy-duty truck, especially under high-speed, night-time, offset rear-end or low-visibility conditions, the safety risk can be significant.
PRIAUTO’s R&D capabilities and standardization involvement in heavy-duty truck targets enable the company to support heavy-duty vehicle active safety evaluation not only through product supply, but also from the perspectives of international standards, real-world crash risks, sensor response characteristics and engineering implementation.
A Complete Vehicle Target Portfolio Covering Passenger Cars, Commercial Vehicles and Special Vehicles
In real-world traffic environments, vehicle targets are not limited to standard passenger cars. Different vehicle types vary significantly in size, shape, materials, rear-end structure, lighting features, reflection characteristics and motion behavior, creating different challenges for cameras, millimeter-wave radar, LiDAR and multi-sensor fusion systems.
PRIAUTO’s vehicle target portfolio is developed around high-frequency real-world traffic risk objects. By combining vehicle targets of different scales, body types, rear-end structures and regional traffic characteristics, PRIAUTO helps users reproduce richer, more realistic and more challenging vehicle conflict scenarios in proving-ground environments.
3D passenger vehicle targets support standard passenger-car recognition, Car-to-Car AEB, forward collision warning, crossing vehicle scenarios and automated driving perception validation. Passenger vehicle rear-end targets support rear-end collision, following braking, stationary vehicle recognition and rear-target perception tests. Heavy-duty truck rear-end targets and dry van trailer targets address large commercial vehicle rear-end collisions, night-time rear-end crash scenarios, offset rear-end testing and highway safety validation. Water sprinkler truck targets, engineering vehicle targets and electric delivery tricycle targets further cover high-frequency special vehicle scenarios in China and other Asian mixed-traffic environments.
3D Passenger Vehicle Targets for Standardized Car-to-Car Active Safety Testing
PRIAUTO 3D passenger vehicle targets are developed for automotive active safety and intelligent driving testing. They can be used for Car-to-Car AEB, FCW, crossing vehicle recognition, stationary vehicle recognition, low-speed following, automated driving perception validation and scenario library construction.
Compared with flat targets or simplified rear-end targets, 3D passenger vehicle targets provide a more complete vehicle contour, more realistic spatial structure, and more representative multi-sensor response characteristics. For camera systems, they provide vehicle appearance, windows, lights, wheels, and body outline features. For millimeter-wave radar systems, their structure and material design help generate representative vehicle radar responses. For LiDAR systems, their geometry and reflectivity support 3D point-cloud recognition, object classification, and multi-sensor fusion validation.
3D Passenger Vehicle Targets with Lighting for Night-Time and Low-Visibility Testing
Night-time and low-visibility environments are important scenarios for validating intelligent driving perception capabilities. PRIAUTO 3D passenger vehicle targets with lighting further upgrade conventional 3D vehicle targets by simulating daytime running lights, position lights, brake lights, left and right turn signals and other lighting states. These functions can be synchronized with target motion platforms and test control systems.
This product is suitable for night-time following, front vehicle deceleration, lane change, low-light rear-end risk, complex lighting interference and night-time AEB testing. As NCAP and intelligent driving tests increasingly emphasize night-time scenarios, vehicle targets with realistic lighting behavior will become an important direction for future vehicle target development.
Passenger Vehicle Rear-End and Head/Tail Targets for Rear-End Collision Prevention
Passenger vehicle rear-end targets are mainly used to simulate the rear features of real passenger vehicles. They are suitable for forward collision warning, automatic emergency braking, following braking, stationary vehicle recognition, low-speed rear-end and high-speed rear-end scenarios.
PRIAUTO passenger vehicle rear-end targets can reproduce the visual, radar and LiDAR reflection characteristics of a real vehicle rear end. With flexible, impactable and fast-recoverable structures, they are suitable for high-frequency repeated testing. Passenger vehicle head/tail targets provide more flexible front-end and rear-end vehicle test scenarios, making them useful for sensor benchmarking, algorithm validation, vehicle recognition model training and multi-angle target perception testing during the R&D phase.
Heavy-Duty Truck Rear-End Targets for Large Commercial Vehicle Rear-End Risk Validation
The heavy-duty truck rear-end target is one of the key products in PRIAUTO’s vehicle target portfolio and an important focus of ISO 19206-11 heavy-duty truck target standardization.
This type of target is developed for real-world heavy-duty truck rear-end crash risk scenarios. It can be used for full rear-end collisions, 50% offset rear-end collisions, night-time rear-end scenarios, highway large-vehicle recognition, commercial vehicle active safety testing and passenger vehicle forward crash prevention validation. The target design focuses on heavy-duty truck rear-end dimensions, rear-door structure, reflective markings, rear lighting, visual features, 77GHz millimeter-wave radar RCS and LiDAR reflectivity, allowing it to more realistically simulate the detectable characteristics of a heavy-duty truck rear end in multi-sensor systems.
For intelligent driving systems, heavy-duty truck rear ends are high-risk and technically challenging targets. Their large width, high body structure, and complex rear-end features can pose severe rear-end crash risks, especially at night, in rain or fog, with partial occlusion, or during high-speed approach. PRIAUTO heavy-duty truck rear-end targets provide a controllable, repeatable, and quantifiable test foundation for such high-risk scenarios through high-fidelity multi-sensor characteristics and safe impactable structures.
Stationary Dry Van Trailer Targets for IIHS FCP 2.0 and Related Testing
For rear-end crash risks involving dry van trailers in North American and international markets, PRIAUTO provides stationary dry van trailer targets. This product is designed for large stationary or slow-moving trailer recognition, forward collision warning, automatic emergency braking and offset rear-end testing, supporting IIHS FCP 2.0 and related requirements.
Dry van trailers have wide and flat rear-end structures, tall bodies and distinct visual and radar reflection characteristics, making them typical risk objects in high-speed passenger vehicle rear-end crashes. Through standardized target design, PRIAUTO converts real trailer rear-end features into safe, impactable and reusable test objects, helping users validate vehicle recognition, braking and crash mitigation capabilities for large stationary targets in closed proving grounds.
Special Vehicle Targets for China and Asian Complex Traffic Scenarios
China and many Asian road environments include a wide variety of special vehicles and complex traffic behaviors. Water sprinkler trucks, engineering vehicles and electric delivery tricycles frequently appear in urban roads, industrial parks, construction zones, logistics delivery scenarios and low-speed mixed traffic. They are important objects that intelligent driving systems must recognize and respond to.
PRIAUTO water sprinkler truck targets can simulate urban sanitation and operation vehicle scenarios, supporting recognition and collision avoidance validation for large non-standard vehicles. Engineering industrial vehicle targets can be used in construction zones, industrial parks, mining roads and urban work-vehicle scenarios, helping systems evaluate perception, classification and risk assessment capabilities for low-speed large work vehicles. Chinese powered tricycle targets address urban delivery, community roads, industrial park logistics and mixed traffic involving non-standard vehicles, supporting intelligent driving recognition and collision avoidance testing for small cargo tricycles.
These special vehicle targets enable PRIAUTO’s vehicle target portfolio to support not only international standardized testing, but also intelligent driving development, evaluation and approval validation in complex Chinese and Asian traffic environments.
Multi-Sensor Fidelity for Camera, Millimeter-Wave Radar and LiDAR Consistency
Modern intelligent driving systems rely on cameras, millimeter-wave radar, LiDAR and multi-sensor fusion. Vehicle targets differ significantly in size, materials, body shape, rear-end structure, lighting features and reflection characteristics. If a target only looks similar but lacks realistic radar RCS and LiDAR reflectivity, it cannot support high-confidence system validation.
PRIAUTO vehicle targets are systematically designed around multi-sensor consistency, emphasizing the coordinated representation of visual features, 77GHz millimeter-wave radar RCS, LiDAR reflectivity, spatial geometry and vehicle body structure. 3D passenger vehicle targets reproduce the visual, automotive radar and LiDAR characteristics of passenger cars in visible road directions. Heavy-duty truck and dry van trailer targets focus on reproducing the rear-end visual, radar and LiDAR responses of large commercial vehicles. Special vehicle targets supplement perception validation needs for non-standard vehicle types in real traffic environments.
This high-fidelity multi-sensor capability enables PRIAUTO vehicle targets to support camera recognition, millimeter-wave radar detection, LiDAR point-cloud classification, multi-sensor fusion, target tracking, collision risk assessment and automatic braking control validation.
Soft, Lightweight, Impactable and Fast-Recoverable Design
Proving-ground testing often requires a large number of repeated trials, especially in AEB, FCW, rear-end collision, offset collision, night-time testing and edge-case validation. Vehicle targets must therefore provide impact safety, recovery efficiency and long-term reliability.
PRIAUTO vehicle targets use soft, lightweight, modular and fast-recoverable designs. They reduce the risk of damage to test vehicles and sensors while maintaining high-fidelity sensor characteristics. Through impactable structures and fast recovery design, testing organizations can conduct repeated tests, edge-case validation and large-scale data collection more efficiently.
For OEMs, testing organizations and intelligent driving development teams, this means fewer test interruptions, lower maintenance costs, higher data consistency and better proving-ground utilization.
System-Level Testing Support for L2–L5 Intelligent Vehicles
Vehicle targets are fundamental equipment in intelligent driving proving-ground testing systems. Through passenger vehicle, SUV, head/tail, rear-end passenger vehicle, heavy-duty truck, dry van trailer, engineering vehicle, water sprinkler truck and electric delivery tricycle targets, PRIAUTO has built a complete vehicle target portfolio covering standardized testing, region-specific scenarios, commercial vehicle safety, night-time testing and complex mixed-traffic environments.
The portfolio can be widely used for:
- Car-to-Car AEB testing;
- Forward collision warning and automatic emergency braking validation;
- Stationary, slow-moving and decelerating vehicle recognition;
- Full rear-end and 50% offset rear-end testing;
- Night-time vehicle recognition and lighting interaction testing;
- Heavy-duty truck and semi-trailer rear-end risk validation;
- Special vehicle and China-specific complex traffic scenario testing;
- Camera, millimeter-wave radar, LiDAR and multi-sensor fusion algorithm development;
- C-NCAP, Euro NCAP, C-IASI, IIHS, i-VISTA and ISO 19206-11 test protocol research and implementation.
From Standard Test Tools to Complex Scenario Validation Platforms
As intelligent driving systems evolve from L2 driver assistance toward higher levels of automation, the value of vehicle targets is no longer limited to standard AEB testing. Future test targets must support more complex multi-vehicle interactions, more realistic traffic participant modeling, higher-intensity impact validation, more challenging night-time scenarios and regionally representative traffic environments.
PRIAUTO will continue to build on its technical expertise in ADAS test targets, ISO 19206-11 heavy-duty truck target standardization, proving-ground testing systems and multi-sensor feature design. The company will further enhance its vehicle target portfolio to provide global OEMs, intelligent driving companies, sensor suppliers, testing organizations and research institutes with more complete, reliable and high-fidelity vehicle target solutions.
Through its complete Vehicle Targets portfolio, PRIAUTO is committed to helping intelligent driving systems complete safety validation in more realistic, complex and repeatable test environments, supporting the transition of intelligent connected vehicles from R&D validation to reliable mass production and safe deployment.