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Table 1: Signals for automated vehicle longitudinal control system diagnostics
1997
"... In PAGE 8: ... The continuous domain, sensor, ob- server, and residue design is summarized in Tables 1 and 2 included from [21]. Table1 summarizes 18 di erent signals to be used in the fault detection and identi cation scheme. Some of the signals are directly measured while others are estimates obtained from the observers discussed in [21].... ..."
Cited by 1
Table 1. Vehicle Sensor Summary 4.1.4 Vehicle Alert System (JAUS Horn and Lights Hardware) H2Bot II includes a module that can switch relatively large electrical loads (using relays) controlled with commands sent over USB interface. This module is utilized by the implementation of the vehicle alert system, which is exercised during JAUS checkout. Power is routed to the horn and lights when activated by JAUS software.
"... In PAGE 6: ...0 standard interfaces. Table1 summarizes the sensors used in H2Bot II. ... ..."
Table 4 A guideline for selecting an appropriate vehicle scheduling system Criteria
2004
"... In PAGE 22: ... Table4 presents a guideline for designers to choose a suitable vehicle scheduling system for ... ..."
Table 1-1. Output Data Comparison based on the raw Paramics1.5 Total Demand Paramics1.5 VDS* Error (%)
1999
"... In PAGE 31: ... Outputs aggregated in this step for further comparison include 1) total generation (total vehicles released in 2 hours), 2) total attractions (total number of vehicles completing the short journey in 2 hours), 3) lane-by-lane outflow (the number of vehicles collected from each lane in 2 hours), and 4) % lane-by-lane usage. Results in Table1 -1 indicate a shortage in the number of vehicles being released to the section, the number of vehicles traversing the section, and a severe lane usage problem. Therefore, parameter... In PAGE 32: ... The final combinations in the Vehicle file are shown in Table 1-2. Table1 -2 The Calibrated Parameters in the file Vehicle of Paramics1.5 Vehicle Composition Type-1 car Proportion 71 Type-2 car HOV Proportion 4 Type-3 car HOV Proportion 3 Type-4 car Proportion 2 Type-12 lgv Proportion 4.... In PAGE 33: ... The selected parameters in the file Driver are shown in Table 1-3. Table1 -3 Aggressiveness and Awareness Parameters in the file Driver of Paramics1.5 aggressiveness multiple 3 slides 1 4 11 21 28 21 1141(normaldistribution) awareness multiple 1 slides 1 4 11 21 28 21 1141(normaldistribution) Another important insight gained from the above experimentation is that the usage of lane-1 (the outside lane) and lane-2 is affected by the shaping of the destination zone.... In PAGE 34: ... Table1 -4. Improved Results Total Demand Paramics1.... ..."
Table 2: Performance Summary: Five modes of underwater robot navigation and control.
"... In PAGE 5: ... 2.1 System Design: A multi-mode vehicle navigation and control system The new navigation system is con gured by the pilot to operate in one of ve modes detailed in Table2 . All of the control modes employ the same closed-loop control algorithms for vehicle heading and depth.... ..."
Table 4a Performance of the proposed algorithm in detecting the significant coefficients using the vehicle data with artificially controlled sparseness of the correlation matrix.
"... In PAGE 23: ... Table4 b Performance of the proposed algorithm in detecting the significant coefficients using the vehicle data with artificially controlled sparseness of the correlation matrix. 9 Conclusions This paper presented a brief overview of MineFleet Real-Time, a vehicle data stream mining and monitoring system.... ..."
TABLE 2-4 PROBLEM SIZE STATISTICS FOR UNDER CONTROL ENCROACHMENT BACKING CRASHES VEHICLE TYPES INVOLVED AS THE STRIKING VEHICLE:PASSENGER VEHICLES, COMBINATION-UNlT TRUCKS, SINGLE-UNlT TRUCES
Table 1 Model parameters for vehicle-size fuel cell system
"... In PAGE 17: ...and air cooler, and the use of proportional control of the hydrogen valve, the only inputs to the model are the stack current, st I , and the compressor motor voltage, v . The parameters used in the model are given in Table1 . Most of the parameters are based on the 75 kW stacks used in the FORD P2000 fuel cell prototype vehicle [29].... ..."
Table 1 - Summary of Line Following Control System Errors
1996
"... In PAGE 5: ...proportional to the steady-state heading rate, so the data collected during the tests was also used to generate the Table1 shown in Figure 4.Calibration of the commanded wheel angle rate was simpler.... In PAGE 9: ... A more sophisticated method involving pseudolites or dual frequency receivers would have eliminated this bias and is a topic of future research.Line tracking measurements for both trials are shown in Figure 8 and summarized in Table1 . Since the plots show CDGPS measurements and not truth , they represent the error associated with the control system and physical vehicle disturbances.... ..."
Cited by 6
Table 3. RMA scheduling table for temperature control tasks The data in the above table shows that not all tasks can be scheduled by the RMA approach if A = 1, but all of them can be scheduled for A = 0:86 or A = 0:8575. When A = 0:86 fi = fmi; i = 1; ::; 4; f5 = 4:0833, and when A = 0:8575, fi = fmi; i = 1; ::; 5. By comparing two scheduling approaches presented above, we conclude that full utilization of computing resource can be achieved by using EDF and this yields a performance index J = 0:00695. RMA scheduling algorithm, on the other hand, does not guarantee full CPU utilization, and the performance index is J = 0:2882 at A = 0:86. Example 3.2 Consider the bubble control system discussed in last section. Suppose four of such systems with di erent physical dimensions are installed on an underwater vehicle to control the depth and orientation of the vehicle, and they are controlled by one on-board processor. The following data is given for the control design and scheduling problem: Ji = ie? ifi; i = 1; :::; 4
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