On Minimum Parking Space Required by Automatic Parallel Parking.

Automatic parking system has been widely equipped on manual driving vehicles for decades. Due to the limited environment sensing ability and not-accurate-enough positioning system, however, it usually requires a very large redundant space for a car to accomplish one successful parking maneuver. There would be two differences in the coming era of automatic driving: (1) sufficiently accurate perception and positioning systems can be expected to be available, and (2) the number of parking trials could be large when parking without passengers on the vehicle.

Intersection Vehicle Turning Control for Fully Autonomous Driving Scenarios.

Currently the research and development of autonomous driving vehicles (ADVs) mainly consider the situation whereby manual driving vehicles and ADVs run simultaneously on lanes. In order to acquire the information of the vehicle itself and the environment necessary for decision-making and controlling, the ADVs that are under development now are normally equipped with a lot of sensing units, for example, high precision global positioning systems, various types of radar, and video processing systems. Obviously, the current advanced driver assistance systems (ADAS) or ADVs still have some problems concerning high reliability of driving safety, as well as the vehicle's cost and price.

A Two-Layer IP Hopping-Based Moving Target Defense Approach to Enhancing the Security of Mobile Ad-Hoc Networks.

Mobile ad-hoc networks (MANETs) have great potential applications in military missions or emergency rescue due to their no-infrastructure, self-organizing and multi hop capability characteristics. Obviously, it is important to implement a low-cost and efficient mechanism of anti-invasion, anti-eavesdropping and anti-attack in MANETs, especially for military scenarios. The purpose of intruding or attacking a MANET is usually different from that of wired Internet networks whose security mechanism has been widely explored and implemented.