Car controls

Abstract: This paper presents techniques, related experiments and real results (not simulations) performed with two unmanned vehicles. The test zone is a private circuit with the characteristics of an urban track. The vehicles are common mass-produced cars, provided with automatic actuators operating on the car controls (power-assisted steering and accelerator). These actuators work commanded by a fuzzy logic based control system. The input information to the control system is provided by three elements: high precision GNSS, car tachometer and a wireless network environment.

Abstract: We explore the opportunity of shifting car controls from the steering wheel to the driver's fingers by means of smart rings that enable tap, touch, and mid-air gesture input. We also discuss the opportunity of using smart rings together with other input modalities toward more efficient and safer in-vehicle interactions. By accounting for the driver's location, activity, and distance from the car, we identify unique characteristics of smart rings to control the connected car compared to steering wheel controls, smartphones and in-vehicle touchscreens, mid-air gestures, and voice commands. We also present application opportunities for smart ring input for both in-vehicle and outside-the-vehicle interaction.

Abstract: An elevator supervision system has a microcomputer type car control connected to a load sensor for sensing a load on an associated elevator car, a microcomputer type group supervision device connected to floor pushbuttons and a clock, and a microcomputer type statistical device connected in two ways to the group supervision device which is connected in two way to the car controls, the statistical device setting a starting and an ending time of a crowded traffic pattern of the elevator cars on every day and recording them for past M days and calculating their mean values and dispersions, the group supervision device receiving data from the statistical device to cause the car controls to control the operation of the cars through associated driving controls and hoist motors.

Abstract: This paper concerns controlling a string of vehicles on an automated highway using a sampled-data fixed reference control system suitable for a "moving cell" control scheme [1]. The reference consists of equally spaced information stations (posts) along the roadside. See Figure 1. As a car reaches a post, it receives data concerning its time of arrival error (convertible into position error) plus the value of the command velocity. Each car contains a means for measuring its own velocity. Thus an on-board controller independently controls each car using position error and velocity error. The shock wave effects of moving reference (car-following) systems [1] and the inter-car communication requirements of state feedback approaches to this problem [2] are avoided. Control is simple since each car controls itself and each post simultaneously sends the same information as all other posts. No inter-vehicle communication is required. The posts can also be used to monitor system behavior and detect emergencies, although this monitoring function is not discussed here.