Pedestrian Detection
Pedestrian detection is a critical technology used in various applications, particularly in autonomous driving and advanced driver-assistance systems (ADAS). It involves using sensors and algorithms to detect and track pedestrians in real-time to ensure safety and prevent accidents.
KEY COMPONENTS OF PEDESTRIAN DETECTION
Sensors
- These include cameras, LIDAR, RADAR, and infrared sensors. Cameras capture visual data, while LIDAR and RADAR provide distance and speed information
Image Processing
- Algorithms process the captured images to identify pedestrians. This involves several steps:
- Preprocessing: Enhancing image quality, removing noise, and normalizing data.
- Feature Extraction: Identifying key features that differentiate pedestrians from other objects (e.g., shape, motion, texture)
- Algorithms process the captured images to identify pedestrians. This involves several steps:
Tracking
- Once detected, pedestrians are tracked across frames to predict their movement and adjust vehicle behaviour accordingly. Techniques include Kalman filters and optical flow analysis.
Integration with Vehicle Systems
- The detected pedestrian data is integrated with the vehicle’s control systems to enable actions such as braking, steering, or alerting the driver.
CHALLENGES
Occlusion
- Pedestrians partially hidden by other objects can be challenging to detect.
Varied Environments
- Different lighting conditions, weather, and backgrounds can affect detection accuracy.
Real = Time Processing
- The system must process data quickly to make immediate decisions, requiring efficient algorithms and powerful hardware.
APPLICATIONS
Autonomous Vehicles
- Ensuring the safety of pedestrians by detecting and reacting to their presence
Smart Traffic Systems
- Managing pedestrian traffic and reducing accidents at crosswalks.
Surveillance Systems
- Monitoring pedestrian movement in public areas for security purposes.
Ready to prioritise Safety?
At Nova Safety Systems, our main goal is to reduce or prevent accidents through the use of advanced technology.