Advanced Driver Assist Systems Trainer
(MC112)
- Real-Time Vehicle Simulation Using Drive Mode
- Explore Mode – Inspecting ADAS Components and Sensor Feedback
- Visualization Mode – IMU-Controlled Vehicle Behavior
- Comprehending the Principles of Sensor Fusion and Data Interpretation
- Analyzing System Behavior and Functional Logic Across Different Modes
- Exploring Human–Machine Interaction and Driver Assistance Concepts
- LiDAR:
- Measuring range 0.02 m – 12 m
- Presence Sensor:
- Sensing distance 8 mm
- Gear Selector: Voltage 12 V
- Cameras: Full HD 1080p resolution (1920 × 1080 pixels)
- Display: 10” HDMI screen
- IMU: 64 MHz ARM; 3.7 V Li-Po battery with charger; 512 KB Flash / 64 KB RAM +
- 2 MB SPI storage; 22.86 × 22.86 mm
- Power Supply: 120 VAC / 1.6 A
- Connectivity: Ethernet, USB, HDMI ports
- Software Modes:
- Drive Mode
- Explore Mode
- Visualization Mode
- Advanced Driver Assist Systems Trainer (MC112)
- BEDO software
- Hard copy user manual
- Digital content (BI01)
The Advanced Driver Assist Systems (ADAS) Trainer is an innovative educational platform designed to immerse students in the principles and real-world operation of autonomous vehicle systems and modern ADAS technologies. It provides a hands-on learning experience that replicates real vehicular behavior through a network of sensors, cameras, radars, and LiDAR modules integrated with an intelligent graphical interface. The trainer demonstrates sensor fusion—the process of combining data from multiple sources such as ultrasonic sensors, cameras, radars, and LiDAR to make accurate driving decisions—and highlights core features including object detection, parking assistance, lane monitoring, blind spot detection, and adaptive response simulation. Through its comprehensive software interface, learners visualize live sensor data, understand sensor placement, and explore calibration processes, fostering a deep understanding of system accuracy, responsiveness, and real-world limitations.
- The Advanced Driver Assist Systems Trainer operates as a complete interactive simulation platform that reproduces the environment of an intelligent vehicle, allowing students to observe how multiple sensors, cameras, and control modules work together to perceive surroundings, analyze information, and trigger automated responses that assist the driver in real time.
- Through its combination of hardware and graphical software, the system transforms theoretical knowledge of automotive sensing into a fully visual and hands-on learning experience.
- The LiDAR module acts as the core environmental scanner of the trainer, emitting invisible laser pulses that create a virtual map of nearby obstacles.
- It continuously measures the distance and position of surrounding objects, sending the collected data to the central processor.
- Within the simulation interface, trainees can observe how LiDAR information merges with other sensor inputs to form a unified awareness of the environment, replicating how modern vehicles monitor lanes, vehicles, and pedestrians for collision avoidance.
- The Front and Rear Cameras function as the visual eyes of the system, transmitting live images of the area in front of and behind the simulated vehicle.
- These images are processed by the software’s object detection algorithms, which recognize shapes and movement, illustrating how ADAS systems identify pedestrians, vehicles, or barriers.
- When the gear selector is placed in Drive or Reverse, the corresponding camera feed automatically activates, demonstrating how camera-based systems dynamically adapt to the driving direction and assist with parking or lane departure alerts.
- The Radar and Ultrasonic Sensors replicate the vehicle’s short- and medium-range detection technologies.
- While radar modules simulate the use of electromagnetic waves to identify objects at a distance, the ultrasonic sensors model the detection of nearby obstacles during slow-speed maneuvers, such as parking or reversing.
- As these sensors sense objects, the graphical user interface displays colored proximity bars and emits warning tones, showing how ADAS integrates audio-visual feedback to support safe maneuvering and prevent collisions.
- The Blind Spot Detection System, consisting of side-mounted radar sensors with LED indicators, demonstrates how modern vehicles warn drivers of hidden obstacles or vehicles located in adjacent lanes.
- When an object enters the blind spot zone, the LEDs illuminate and corresponding indicators appear on the GUI, teaching students how these systems enhance driver awareness during lane changes and overtaking maneuvers.
- The Gear Selector Module allows the user to manually shift between Drive, Reverse, and Park modes, serving as a central control that dictates how the sensors and cameras respond during operation.
- Selecting a mode instantly changes which sensors are active, which visual feeds are displayed, and how the simulation behaves, illustrating the coordination between transmission signals and ADAS system logic in real vehicles.
- The Steering Wheel Assembly provides a realistic physical input device through which students can control the simulated vehicle’s direction.
- Its movement is mirrored in the graphical display, and it demonstrates how steering angle sensors and vehicle orientation data are used by ADAS to support stability, steering correction, and lane centering functions.
- The Inertial Measurement Unit (IMU) serves as the trainer’s motion and orientation sensor, detecting rotation, tilt, and acceleration when moved.
- Within the simulation, its feedback is translated into corresponding vehicle movements on the screen, allowing trainees to visualize how ADAS interprets gyroscopic and accelerometer data to stabilize the vehicle and make directional adjustments during motion.
- The Presence Sensor represents the human-vehicle interaction element by simulating the detection of a driver’s physical presence. When activated, it communicates to the system that a driver is seated, demonstrating how such safety interlocks prevent system operation in the absence of a recognized driver and how occupant detection plays a vital role in modern intelligent vehicles.
- The Graphical User Interface (GUI) serves as the visual and analytical center of the system, displaying the live data streams from every sensor in real time.
- It provides clear color-coded indicators for distance measurement, blind spot detection, and object proximity, while simultaneously presenting front and rear camera views.
- The GUI effectively allows students to act as the vehicle’s processor, analyzing sensor data, making decisions, and observing how each sensor’s input contributes to an overall driving assistance strategy.
- The HDMI Display Screen integrates the GUI into a clear, real-time visual dashboard, showing not only the simulated vehicle and its surrounding objects but also all active signals, alerts, and sensor feedback.
- This enables learners to correlate physical actions—like turning the steering wheel or shifting gears—with immediate visual responses, reinforcing understanding of data fusion and coordinated system behavior.
- The Control Panel acts as the trainer’s main operational center, housing the essential connection ports and safety controls.
- It ensures stable communication between all modules and includes an emergency stop button that allows instructors to interrupt the operation instantly, emphasizing system safety, supervision, and controlled experimentation.
- Working together, all these components simulate the continuous cycle of sensing, decision-making, and response that defines modern Advanced Driver Assistance Systems.
- Students can observe how each sensor contributes unique data, how the software fuses that information into a coherent picture of the driving environment, and how the system reacts automatically to changing conditions—creating a realistic educational experience that mirrors the functioning of intelligent vehicles.