3 . AI Decision-Making : After gathering and processing the data , the AI system uses machine learning to detect , segment , and classify various elements in the environment — such as pedestrians , vehicles , and road obstacles . It continuously monitors these objects and predicts future actions to enable real-time decision-making , ensuring safe navigation .
4 . Path Planning and Control : Based on the perception data , the vehicle plans its path , deciding when to turn , stop , or change lanes . Finally , the control module ensures that the vehicle executes these actions safely by sending precise commands to the steering , acceleration , and braking systems .
Smart Parking Solutions
Parking sensors are becoming a popular part of ADAS . These sensors enhance safety and convenience while parking by providing real-time feedback to drivers about their surroundings . It also simplifies the parking process by , allowing drivers to park more confidently and efficiently . This can be particularly beneficial in urban areas where space is limited . Moreover , these sensors can help prevent minor collisions , which can lead to costly repairs and insurance claims .
Cars equipped with smart parking features use ultrasonic sensors that bounce off nearby
objects and measure the distance to them . They also use radar sensors to detect the speed and distance of objects around a vehicle . It also uses cameras to provide visual representation of the surroundings and improve spatial awareness .
These sensors are typically integrated into ADAS through Park Assist systems that control of steering while the driver manages acceleration and braking . The sensors guide the vehicle into the parking spot , minimising the risk of collisions . They also use Surround-View Cameras to provide a bird ’ s-eye view and its surroundings , making it easier to navigate tight spaces .
This technology is currently being integrated with Smart City Infrastructure . Places like Melbourne have intelligent parking management systems that communicate with vehicles with smart parking sensors to enable features like real-time space reservation and payment options . Some locations also feature fully automated parking systems where vehicles are parked without human intervention , using robotic systems .
Challenges and Limitations
While AI-based sensors offer many benefits , they do have challenges that may impact their effectiveness and reliability .
For starters , integrating AI-based sensors with existing vehicle systems can be complex . This
28 ISSUE 49 OCTOBER 2024 / WWW . AFMA . ORG . AU