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Parking assist systems have become very common in current vehicles. The purpose of such a system is to assist the driver to park the vehicle without collision. The sensors serve as eyes of the driver during parking maneuver by sensing any obstacle in the path. The parking sensors, typically ultrasonic sensors, are mounted on front and rear of vehicle to assist the driver to park the vehicle. Thus, such a system can cover only the front and rear portion of the vehicle and is unable to cover the side portions of the vehicle. This paper proposes a novel method to monitor the perimeter of a vehicle while parking using minimum sensors placed at strategic locations. A local map of the parking area is generated using data from sensors which helps in identifying static obstacles. The map is constantly updated in real time during parking. The algorithm ascertains that the entire perimeter of the vehicle is protected from impending collisions in real time.

Automotive climate control systems are evolving at a rapid pace to meet the overall vehicle requirements and the user expectations for comfort and convenience. This poses a challenge in the product development life cycle of multi-platform vehicle systems with respect to development time and optimal performance in the Heating, Ventilation and Air Conditioning (HVAC) system. This paper proposes rapid HVAC plant model design and development using simplified one-dimensional (1D) simulation models for fast simulations. The specific accuracy limitations of such a simplified model are overcome using limited three-dimensional computational fluid dynamics (3D CFD) modelling. User-level control strategy is developed in an integrated simulation environment that includes a reference 1D model and a control algorithm simulator. The simulation data is used to study and analyse the temperature and airflow distribution in the system.