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A Multi-Sensor Intelligent Assistance System for Driver Status Monitoring and Intention Prediction
(2017)
Advanced sensing systems, sophisticated algorithms, and increasing computational resources continuously enhance the advanced driver assistance systems (ADAS). To date, despite that some vehicle based approaches to driver fatigue/drowsiness detection have been realized and deployed, objectively and reliably detecting the fatigue/drowsiness state of driver without compromising driving experience still remains challenging. In general, the choice of input sensorial information is limited in the state-of-the-art work. On the other hand, smart and safe driving, as representative future trends in the automotive industry worldwide, increasingly demands the new dimensional human-vehicle interactions, as well as the associated behavioral and bioinformatical data perception of driver. Thus, the goal of this research work is to investigate the employment of general and custom 3D-CMOS sensing concepts for the driver status monitoring, and to explore the improvement by merging/fusing this information with other salient customized information sources for gaining robustness/reliability. This thesis presents an effective multi-sensor approach with novel features to driver status monitoring and intention prediction aimed at drowsiness detection based on a multi-sensor intelligent assistance system -- DeCaDrive, which is implemented on an integrated soft-computing system with multi-sensing interfaces in a simulated driving environment. Utilizing active illumination, the IR depth camera of the realized system can provide rich facial and body features in 3D in a non-intrusive manner. In addition, steering angle sensor, pulse rate sensor, and embedded impedance spectroscopy sensor are incorporated to aid in the detection/prediction of driver's state and intention. A holistic design methodology for ADAS encompassing both driver- and vehicle-based approaches to driver assistance is discussed in the thesis as well. Multi-sensor data fusion and hierarchical SVM techniques are used in DeCaDrive to facilitate the classification of driver drowsiness levels based on which a warning can be issued in order to prevent possible traffic accidents. The realized DeCaDrive system achieves up to 99.66% classification accuracy on the defined drowsiness levels, and exhibits promising features such as head/eye tracking, blink detection, gaze estimation that can be utilized in human-vehicle interactions. However, the driver's state of "microsleep" can hardly be reflected in the sensor features of the implemented system. General improvements on the sensitivity of sensory components and on the system computation power are required to address this issue. Possible new features and development considerations for DeCaDrive are discussed as well in the thesis aiming to gain market acceptance in the future.
Multiple-channel die-stacked DRAMs have been used for maximizing the performance and minimizing the power of memory access in 2.5D/3D system chips. Stacked DRAM dies can be used as a cache for the processor die in 2.5D/3D system chips. Typically, modern processor system-on-chips (SOCs) have three-level caches, L1, L2, and L3. Could the DRAM cache be used to replace which level of caches? In this paper, we derive an inequality which can aid the designer to check if the designed DRAM cache can provide better performance than the L3 cache. Also, design considerations of DRAM caches for meet the inequality are discussed. We find that a dilemma of the DRAM cache access time and associativity exists for providing better performance than the L3 cache. Organizing multiple channels into a DRAM cache is proposed to cope with the dilemma.
The development of recombinant DNA techniques opened a new era for protein production both in scientific research and industrial application. However, the purification of recombinant proteins is very often quite difficult and inefficient. Therefore, we tried to employ novel techniques for the expression and purification of three pharmacologically interesting proteins: the plant toxin gelonin; a fusion protein of gelonin and the extracellular domain of the subunit of the acetylcholine receptor (gelonin-AchR) and human neurotrophin 3 (hNT3). Recombinant gelonin, acetylcholine receptor a subunit and their fusion product, gelonin-AchR were constructed and expressed. The gelonin gene, a 753 bp polynucleotide was chemically synthesized by Ya-Wei Shi et al. and was kindly provided to us. The gene was first inserted into the vector pUC118 yielding pUC-gel. It was subsequently transferred into pET28a and pET-gel was expressed in E. coli. The product, gelonin was soluble and was purified in two steps showing a homogeneous band corresponding to 28 kD on SDS-PAGE. The expression of the extracellular domain of the -subunit of AchR always led to insoluble aggregates and even upon coexpression with the chaperonin GroESL, very small and hardly reproducible amounts of soluble material were formed, only. Therefore, recombinant AchR- gelonin was cloned and expressed in the same host. The corresponding fusion protein, gelonin-AchR, again formed aggregates and it had to be solubilized in 6 M Gu-HCl for further purification and refolding. The final product, however, was recognized by several monoclonal antibodies directed against the extracellular domain of the -subunit of AchR as well as a polyclonal serum against gelonin. Expression and purification of recombinant hNT3 was achieved by the use of a protein self-splicing system. Based on the reported hNT3 DNA sequence, a 380 bp fragment corresponding to a 14 kD protein was amplified from genomal DNA of human whole blood by PCR. The DNA fragment was cloned into the pTXB1 vector, which contains a DNA fragment of intein and chintin binding domain (CBD). A further construct, pJLA-hNT3, is temperature-inducible. Both constructs expressed the target protein, hNT3-intein-CBD in E. coli by the induction with IPTG or temperature, however, as aggregates. After denaturation and renaturation, the soluble fusion protein was slowly loaded on an affinity column of chitin beads. A 14 kD hNT3 could be isolated after cleavage with DTT either at 4 °C or 25 °C for 48 h. Based on nerve fiber out-growth of the dorsal root ganglia of chicken embryos, both, hNT-3-intein-CBD and hNT3 itself exhibit almost the same biological activity.
We consider data generating mechanisms which can be represented as mixtures of finitely many regression or autoregression models. We propose nonparametric estimators for the functions characterizing the various mixture components based on a local quasi maximum likelihood approach and prove their consistency. We present an EM algorithm for calculating the estimates numerically which is mainly based on iteratively applying common local smoothers and discuss its convergence properties.
We consider data generating mechanisms which can be represented as mixtures of finitely many regression or autoregression models. We propose nonparametric estimators for the functions characterizing the various mixture components based on a local quasi maximum likelihood approach and prove their consistency. We present an EM algorithm for calculating the estimates numerically which is mainly based on iteratively applying common local smoothers and discuss its convergence properties.
Microfibrillar reinforced composites (MFC) have attracted considerable academic and practical interests after the concept was introduced more than a decade years ago. This new type of composites will be created by blending of two polymers with different melting temperatures and processing the blend under certain thermo-mechanical conditions to generate in-situ formed microfibrils of the higher melting polymer grade of temperature in the blend. The compression molded microfibrillar composites were reported to possess excellent mechanical properties and thus they are promising materials for different applications. In the present work, a typical immiscible polymer blend PET/PP was selected for the preparation of PET/PP, PET/PP/TiO2 microfibrillar reinforced composites. The objective of this study is to analyse the processing-structure-property relationship in the PET/PP based MFCs. The morphology of the PET microfibrils and the dispersion of the TiO2 nanoparticles were characterized by scanning electron microscopy (SEM) and transmission electron microscopy (TEM), and discussed. The crystallization behaviour of PET and PP was studied by means of differential scanning calorimetry (DSC). The thermomechanical and mechanical properties of the composites were determined by dynamic mechanical thermal analysis (DMTA) and uniaxial tensile tests and the related results discussed as a function of the composition of the corresponding system. During stretching of the PET/PP extrudate, the PET dispersed phase was deformed into microfibrils. These microfibrils were still well persevered after compression molding of the drawn strands. Therefore the PET microfibrils acted as the reinforcement for the PP matrix. Compared with neat PP, the tensile properties of the PET/PP MFC were greatly improved. For the PET/PP/TiO2 MFC, the effects of polypropylene grafted maleic anhydride (PP-g-MA, introduced as compatibilizer) and TiO2 particles on the structure and properties of drawn strands and composites were investigated. Upon the addition of PP-g-MA, the preferential location of TiO2 particles changed: they migrated from the PET dispersed phase to the continuous PP matrix phase. This was accompanied with structural changes of the drawn strands. The microfibril formation mechanism was also investigated. After injection molding of the microfibrillar composites, the preferential location of TiO2 particles was still preserved. DMTA analysis of drawn strands, the tensile and impact tests of the composites demonstrated that the mechanical properties of the drawn strands of the microfibrillar composites were strongly dependent on the respective structures of the tested materials. To further investigate the preferential location of TiO2 particles in the PET/PP blend which were discovered during the preparation of PET/PP/TiO2 MFCs, PET/PP/TiO2 ternary nanocomposites were prepared according to four blending procedures. The preferential location of TiO2 nanoparticles was influenced by the blending sequence and the amount of PP-g-MA incorporated. Furthermore, it was discovered that TiO2 nanoparticles exerted a compatibilizing effect on the morphology of the composites. Three different compatibilization mechanisms of nanoparticles were proposed depending on the location of the nanoparticles.
Tire-soil interaction is important for the performance of off-road vehicles and the soil compaction in the agricultural field. With an analytical model, which is integrated in multibody-simulation software, and a Finite Element model, the forces and moments generated on the tire-soil contact patch were studied to analyze the tire performance. Simulations with these two models for different tire operating conditions were performed to evaluate the mechanical behaviors of an excavator tire. For the FE model validation a single wheel tester connected to an excavator arm was designed. Field tests were carried out to examine the tire vertical stiffness, the contact pressure on the tire – hard ground interface, the longitudinal/vertical force and the compaction of the sandy clay from the test field under specified operating conditions. The simulation and experimental results were compared to evaluate the model quality. The Magic Formula was used to fit the curves of longitudinal and lateral forces. A simplified tire-soil interaction model based on the fitted Magic Formula could be established and further applied to the simulation of vehicle-soil interaction.
Abstract: We describe quantum-field-theoretical (QFT) techniques for mapping quantum problems onto c-number stochastic problems. This approach yields results which are identical to phase-space techniques [C.W. Gardiner, Quantum Noise (1991)] when the latter result in a Fokker-Planck equation for a corresponding pseudo-probability distribution. If phase-space techniques do not result in a Fokker-Planck equation and hence fail to produce a stochastic representation, the QFT techniques nevertheless yield stochastic di erence equations in discretised time.
Abstract: We aim to establish a link between path-integral formulations of quantum and classical field theories via diagram expansions. This link should result in an independent constructive characterisation of the measure in Feynman path integrals in terms of a stochastic differential equation (SDE) and also in the possibility of applying methods of quantum field theory to classical stochastic problems. As a first step we derive in the present paper a formal solution to an arbitrary c-number SDE in a form which coincides with that of Wick's theorem for interacting bosonic quantum fields. We show that the choice of stochastic calculus in the SDE may be regarded as a result of regularisation, which in turn removes ultraviolet divergences from the corresponding diagram series.
We show that the solution to an arbitrary c-number stochastic differential equation (SDE) can be represented as a diagram series. Both the diagram rules and the properties of the graphical elements reflect causality properties of the SDE and this series is therefore called a causal diagram series. We also discuss the converse problem, i.e. how to construct an SDE of which a formal solution is a given causal diagram series. This then allows for a nonperturbative summation of the diagram series by solving this SDE, numerically or analytically.