Advanced driver- assistant system (Adas) calibration
Advanced Driver-Assistance Systems (ADAS)
These technologies enhance vehicle safety and automate some driving tasks, AI and sensors
power self-driving systems requires calibration, software updates etc
Adaptive Cruise Control
Adaptive Cruise Control (ACC) is an advanced driver-assistance system that automatically maintains a set speed while adjusting to traffic conditions. Unlike traditional cruise control, which holds a constant speed, ACC uses radar and camera sensors to detect vehicles ahead and can reduce speed or accelerate to maintain a safe following distance.
If the car in front slows down, ACC will automatically brake or decelerate to match its speed.
Lane Keep Assist / Lane Departure Warning
Lane Keep Assist (LKA) and Lane Departure Warning (LDW) are advanced safety systems designed to help drivers stay safely within their lane. Using cameras and sensors, these systems continuously monitor the road’s lane markings. If the vehicle unintentionally drifts out of its lane without a turn signal, Lane Departure Warning alerts the driver with audible, visual, or haptic (steering wheel or seat vibration) warnings.
Automatic Emergency Braking
Automatic Emergency Braking (AEB) is a critical safety feature that helps prevent collisions or reduce their severity. Using radar, cameras, and sensors, AEB continuously monitors the road ahead for potential obstacles—such as vehicles, pedestrians, or cyclists. If the system detects an imminent collision and the driver does not react in time, AEB automatically applies the brakes to avoid or lessen the impact.
Blind Spot Detection
Blind Spot Detection (BSD) is a driver assistance system designed to enhance safety by alerting drivers to vehicles in their blind spots—areas that are difficult to see using mirrors alone. Using radar sensors typically mounted on the side or rear of the vehicle, BSD continuously monitors adjacent lanes.
When a vehicle enters your blind spot, the system activates a visual warning, usually in the side mirror or on the A-pillar. Some systems also provide an audible alert or gentle steering feedback if the driver signals a lane change while another vehicle is in the blind spot.
Parking Assistance / 360° Cameras
Parking Assistance and 360° Camera Systems make parking safer and easier, especially in tight or crowded spaces. Parking Assistance uses sensors located around the vehicle to detect obstacles while parking. The system provides audible and visual alerts to guide the driver, helping to avoid collisions with nearby objects, curbs, or pedestrians. Advanced systems can even control steering automatically, allowing the car to park itself with minimal driver input.
LiDAR, Radar, and Vision Systems
LiDAR, Radar, and Vision Systems are the core sensing technologies that power modern driver assistance features and autonomous vehicles.
LiDAR (Light Detection and Ranging) uses laser beams to create precise 3D maps of the vehicle’s surroundings, accurately detecting objects, their distance, and their size. Radar (Radio Detection and Ranging) uses radio waves to detect the speed and distance of moving and stationary objects—especially useful in poor weather or low-light conditions.
Sensor Fusion Algorithms
Sensor Fusion Algorithms are advanced software systems that combine data from multiple sensors—such as LiDAR, radar, cameras, and ultrasonic sensors—to create a unified, accurate view of a vehicle’s environment. Each sensor type has strengths and limitations: radar excels in detecting speed and distance in poor weather, cameras recognize visual cues like lane markings and traffic signs, and LiDAR provides high-precision 3D mapping.
By intelligently merging this diverse information, sensor fusion algorithms enhance the reliability and accuracy of driver assistance systems and autonomous vehicles. This ensures better object detection, accurate positioning, and more robust decision-making, even in complex or dynamic traffic scenarios.