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Longitudinal Collision Avoidance Systems (CAS) involve maintaining
safe vehicle headways in an attempt to avoid rear-end collisions
and backing collisions. Rear-end accidents are quite prevalent,
and major contributing causes of these accidents are driver inattention
and following too close. The National Highway Traffic Safety Administration
(NHTSA) estimates that about 88% of rear end collisions in the United
States are caused by driver inattention or by vehicles following
too closely (see Figure 1). In turn, rear-end collisions represent
about 28% of all vehicle collisions nationwide (Cerrelli, 1996),
and 36% of fatal and injury collisions in California alone (California
Highway Patrol, 1996).
Longitudinal CAS is also concerned with backing collisions, which
occur more frequently on smaller streets and arterials. Backing
accidents usually involve two distinct conflicts; stationary or
slow moving objects (pedestrians, stopped vehicles), and moving
into the crossing path of a moving vehicle.

A reliable longitudinal collision avoidance system
is the first step towards achieving a reliable and safe system for
controlling a platoon of automated vehicles for "smart" highway
usage. This paper discusses Longitudinal Collision Avoidance Systems
technology and current research projects.
A collision avoidance system generally operates in the following
manner: a sensor installed at the front end of a vehicle constantly
scans the road ahead for vehicles or obstacles. When found, the
system determines whether the vehicle is in imminent danger of crashing,
and if so, a collision avoidance maneuver is undertaken. Most CAS
are non-cooperative, that is, detection is independent of whether
other vehicles on the road are equipped with collision avoidance
devices. An alternative technology relies on vehicle-to-vehicle
communications to exchange information on vehicles' presence, location,
lane of travel, and speed among other factors. In addition to the
front end sensor, vehicles require a rear end transponder as well,
since communication, and therefore detection, only occurs among
equipped vehicles. Researchers at California Partners for Advanced
Transit and Highways (PATH), the California DOT, and the University
of California have been experimenting with cooperative adaptive
cruise control (CACC) since the 1990's. Trials have entailed three
test vehicles, which use a communication protocol in which the lead
car broadcasts information about its speed and acceleration to the
rest of the group every 20 milliseconds. Each car transmits information
about its speed and acceleration to the car behind it. Such a system
can allow two or more cars to communicate and work together to avoid
a collision.
The criteria for activation of collision avoidance is usually
one of these two:
The time-to-collision criterion: the system determines
whether a collision is likely to happen at prevailing speeds and
distances, within a certain time interval. In a car-following
situation, the time-to-collision is the time taken for the two
vehicles to collide if they maintain their present speed and heading.
The worst-case criterion: the system assumes that the
vehicle preceding the CAS-equipped vehicle could brake at full
braking power at any time. In essence, it operates on a "critical
headway distance", that is, the minimum distance necessary for
the CAS-equipped vehicle to come to a stop in the event the leading
car suddenly brakes.
Collision avoidance maneuvers include one or more of the following:
Headway distance control: the system warns the driver
whenever his/her car is following the leading car too closely.
Some systems include automatic speed control, i.e., the CAS-equipped
car would automatically reduce its speed in order to maintain
a safe headway with the leading vehicle.
Hazard warning: the system warns the driver of an object
(moving or stationary) within its projected path, so that the
driver has sufficient time to avoid a crash.
Automatic vehicle control: the system controls the vehicle's
brakes and steering wheel, and applies them automatically when
it deems it necessary. In actuality, there are currently no systems
that use automatic steering to prevent collisions, although the
technology has been developed and tested experimentally.
Visual head-up displays: warnings are displayed
on the windshield in the driver's field of view, so that their
content can be assimilated in conjunction with the driving scene
ahead. These displays are intended to minimize distraction from
driving tasks, in addition to ensuring that the warning does not
go undetected.
Audio/Voice signals: in comparison to visual signals,
auditory signals appear to be less intrusive on driving tasks.
They are also insensitive to external conditions such as poor
light, bad weather, or a dirty windshield. Two different auditory
warnings have been developed: speech (synthesized voice) or non-speech
(buzzer) displays.
Haptic devices: a good CAS design should
provide redundant information via alternative sensory modalities,
given that the primary visual or auditory channel may be degraded
or overburdened. Research suggests that one possibility is to
increase the force needed to push the gas pedal (Janssen and Nilsson,
1991).
These sensors fulfill the tasks of headway control and obstacle
detection, which are the basis of CAS Sensing techniques can be
classified in three main groups, according to Stobart and Upton,
1995 (see Tables 1 and 2 for a more detailed
description of the performance of particular sensors):
Optical techniques (Passive infrared, laser radar and vision):
they all suffer from the disadvantage of being sensitive to external
environmental conditions. Passive infrared and vision cannot provide
a direct measurement of distance to an object. Laser radar (lidar)
appears as the most useful of these techniques, despite its high
cost.
Electromagnetic techniques (FMCW radar, impulse radar and
capacitive): unlike the optical techniques, they
perform well under adverse environmental conditions. Despite its
relatively high cost, FMCW radar seems to be the best technique
for long-range distance measurement. It could also be used at
short and medium range, rendering a quite flexible technique.
Acoustic techniques (ultrasonics): well-suited
in applications where only short-term relative distance measurements
are required, because they are able to provide high resolution
for a relatively low cost.
Researchers are considering combinations of several of these technologies
(sensor fusion), to overcome some of the disadvantages. In March
2003, of Michigan Transportation Research Institute (UMTRI) announced
the beginning of its forward collision warning and adaptive cruise
control systems field tests. The key methodology underlying this
test will be its use of sensor fusion. In this case, sensor fusion
entails the use of a GPS digital map to locate the vehicle and its
direction of travel on a map, a forward-looking machine-vision system
that uses lane markings to estimate the road geometry ahead of the
vehicle, and radar tracking that uses the trajectories of tracked
vehicles ahead to determine if there is a pattern that may indicate
the upcoming road geometry (read more about Sensor
fusion in Michigan field test). Sensor performance may also
be improved by using cooperative techniques, such as having vehicles
equipped with front sensors and rear passive transponders. As this
requires wide system implementation, it is unlikely to happen in
the near future.
Table 1 below presents a brief description of the principles of
operation of different types of sensors, and their main advantages
and disadvantages. Sensors should be able to determine the headway
distance, the relative speed between the preceding vehicle or obstacle
and the equipped vehicle, or both. How well this is achieved can
measured with the following indicators:
-
Sensing range: the maximum range over which the technique
can be used
-
Resolution: the relative change in distance that can be measured
-
Directionality: the width of the beam over which the sensor
is sensitive
-
Response time: how quickly the sensor can respond to a change
in distance
Table 1
A Description of Collision Avoidance Sensors
| Sensor Type |
Description |
| Ultrasonics |
These sensors work by measuring
the time-to-flight of a short burst of sound energy. The headway
distance is obtained by measuring the time between transmitting
a pulse and receiving a reflection. Their main advantage is
their relative low cost and small size; however certain targets
are likely to go undetected because of their poor reflection.
These sensors are also very sensitive to variations in temperature. |
| Passive Infrared |
These sensors measure the thermal
energy emitted by objects in the vicinity of the sensor. Their
main advantage is their low cost and small size, but they are
unable to determine precisely the distance to any detected object,
and they have a slow response time. |
| Laser radar (lidar) |
Two techniques exist: one uses
a high power pulsed beam of infrared light, while in the other
the amplitude of the light is modulated with a sine wave. The
pulsed technique offers long range, high directionality and
fast response time. Its limitations are its high cost, sensibility
to external conditions (mud, poor visibility), and the need
to keep the laser power within safe levels. |
| FMCW Radar |
This type of radar uses modulated
high frequencies (typically microwave frequencies), so that
the frequency difference between the reflected and the transmitted
signal is proportional to the distance to the object ahead.
In addition, the Doppler shift on the reflected signal can be
used to determine the relative speed between the vehicle and
the object ahead. Despite its high cost, this technique offers
the advantages of being insensitive to mud and poor visibility
conditions, and to allow the beam width to be modified depending
on the particular application. |
| Impulse Radar |
This radar differs from the one
above in that it uses very short pulses instead of a continuous
wave. It performs as well as the FMCW radar in terms of environmental
immunity. By using lower frequency electronics, a resolution
similar to that of the FMCW radar can be obtained, at a fraction
of the cost. However, this technique presents a sensible diminution
in maximum range (50 m. instead of 200 m.), and is susceptible
to external electromagnetic interference. |
| Capacitive |
Capacitive sensors are able to
detect close objects (within 2 m.), using the capacitance variations
between electrodes excited at low frequencies, typically 5 kHz.
Despite their limited range, they are low in cost, and robust
to external environmental effects. They may be useful in slow-speed
collision warning, such as for obstacle detection during backing-up
maneuvers. |
| Vision Systems |
These techniques are based on
the use of a video camera and image processing software. Their
high cost and high sensitivity to external environmental effects
makes their use unlikely in most vehicle applications. Another
problem is the large amount of power needed to process the images. |
Source: Stobart and Upton, 1995.
Table 2
Sensor Devices' Measures of Performance
| Sensor |
Sensing Range |
Resolution |
Directionality |
Response Time |
Cost |
Size |
| Ultrasonics |
10 m. (max) |
10 mm. |
30 deg. (min) |
speed of sound |
$15 |
30 mm. diameter |
| Passive Infrared |
10 m. (max) |
poor |
90 deg. |
1 sec. |
under $10 |
20 mm. square |
| Laser radar (lidar) |
100 m. (max), 0.5
m. (min) |
1 mm. (min) |
1 deg. |
fast (10 msec.) |
over $50 |
50 mm. x 100 mm. |
| FMCW Radar |
150 m. |
10 mm. |
2 deg. or wider |
fast (1 msec) |
over $200 |
250 mm. x 150 mm. |
| Impulse Radar |
50 m. (max) |
10 mm. |
25 deg. |
Fast (1 msec) |
over $100 |
250 mm. x 100 mm. |
| Capacitive |
2 m. (max) |
10 mm. |
90 deg. Or wider |
fast (1 msec) |
$1 |
small |
| Vision Systems |
100 m. |
poor |
good |
100 msec. |
Over $200 |
40 mm. x 100 mm. |
Source: Stobart and Upton, 1995
Following is a description of particular Intelligent Cruise Control
and Collision Avoidance Systems, by manufacturer or developer. Additional
detail on technical specifications can be found in the listed references.
The typical functions of intelligent cruise control systems are
headway control and speed control. These systems are considered
precursors of CAS because they use forward obstacle and headway
detection technology to maintain a constant distance behind a lead
vehicle.
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ADC GmbH develops distance control systems, which enable
vehicles to react automatically to different traffic situations.
One such system uses Laser radar (lidar) to detect the distance
between two vehicles, and the equipped vehicle's speed is
changed to keep a safe, constant headway. The actuator for
the vehicle speed controls the engine (throttle) and the transmission
(shift down) only, and does not control the brakes.
A second distance control system uses infrared sensors to
detect the distance between vehicles. Infrared sensors enable
the system to propose a certain speed to the driver by taking
into account the range of vision. Source
|
| Sensor: Impulse
Radar |
| Range: 150 m. |
| View angle: 3 deg. |
| Installation: windshield |
| Size: 150x48x100
mm. |
| Operating wavelength:
850 nm. |
| Avg. acceleration:
0.1 g |
| Max. acceleration:
0.15 g |
| Avg. deceleration:
0.05 g |
| Max. deceleration:
0.07 g |
| Target acquisition:
automatic |
| Min. speed: 20 km/h |
| Source: Kawai, 1994 |
|
Fiat has developed an Autonomous Intelligent Cruise Control
(AICC) system, called ALERT. The system uses a combination of sensors
(laser radar, microwave radar, and a camera for blind spot monitoring),
to detect obstacles in the road ahead. Vehicle control is performed
through electronic braking and a throttle actuator. ALERT uses the
Laser radar (lidar) as the distance sensor, while the microwave
radar, which guarantees visibility in adverse conditions, is used
as the collision avoidance sensor. As long as no target is detected,
the AICC system provides speed control. If a target is detected,
the AICC system switches automatically to distance control: it keeps
the same speed as the target vehicle at a safe distance, which in
turn is continually updated to account for changes in the vehicle's
speed and in road conditions.
Honda Motor Company has developed a new safety system
designed to predict and help prevent rear-end collisions. Honda's
Collision Mitigation Brake System (CMS) anticipates a collision
based on driving conditions, distance to the vehicle ahead and relative
speeds. It then uses visual and audio warnings to prompt the driver
to take preventative action and also initiates braking if the driver
fails to respond to the warnings. The system works in conjunction
with the "E-Pretensioner" seatbelt retraction system and
is due to be introduced into the Japanese domestic market with the
June release of the new Inspire. The CMS and E-Pretensioner systems
use millimeter-wave radar to scan the road 100 meters ahead and
calculates the likelihood of a collision by analyzing the distance
between the vehicles, the relative vehicle speeds, and the anticipated
vehicle path.
If a collision is likely, the system has three staged modes to
prevent or lessen the impact of a rear-end collision:
- An audible warning,
- An audible warning, light braking and light seat-belt retraction,
- An audible warning, strong braking and strong seat-belt retraction.
If a collision is unavoidable, the system also has a number of
functions to reduce impact on occupants, including a brake assist
function that compensates for insufficient pedal pressure to reduce
the speed of impact and seatbelt control that increases seatbelt
tension to hold the driver more securely in place.
Honda is currently investing in the research and development of
'Honda Pre-crash Safety Technologies', which are designed to predict
collisions and minimize impacts. CMS and the E-Pretensioner, which
warn the driver of impending collisions and reduce impact when collisions
are unavoidable, represent the first stage in the practical application
of these technologies.
Overview of CMS and E-Pretensioner systems
If a collision is likely, the CMS and E-Pretensioner systems use
the following three modes to prevent or lessen the impact of a rear-end
collision:
1. Primary warning - When there is a risk of collision with
the vehicle ahead or if the distance between the vehicles has become
too short, a buzzer sounds and the message 'BRAKE' appears on the
multi-information display in the instrument panel, prompting the
driver to take preventative action.
2. Secondary warning - If the distance between the two vehicles
continues to diminish, CMS applies light braking, and the E-Pretensioner
retracts the seatbelt gently two or three times, providing the driver
with a tactile warning. At this point, if the driver applies the
brakes, the system interprets this action as emergency braking,
and activates the brake assist function to reduce impact speed.
3. Collision damage reduction - If the system determines
that a collision is unavoidable, the E-Pretensioner retracts the
seatbelt with enough force to compensate for seatbelt slack or baggy
clothing, providing even more effective driver retention than conventional
seatbelt pretensioners, which only begin to operate once the collision
has occurred. The CMS also activates the brakes forcefully to further
reduce the speed of impact. The E-Pretensioner is designed to operate
whenever the driver brakes suddenly and the brake assist functions,
tightening the seatbelt to secure the driver even if the CMS has
not predicted a collision.
CMS & E-Pretensioner System Configuration
Millimeter-wave radar: Detects vehicles within a range of
about 100 meters ahead, in a 16-degree arc.
Sensors: The system determines driving conditions using
a range of sensors that detect factors such as yaw rate, steering
angle, wheel speed, and brake pressure.
CMS Electronic Control Unit (ECU): Based on distance to
the vehicle ahead and relative speed obtained from radar information,
and on the anticipated vehicle path as determined based on sensor
information, the ECU calculates the likelihood of a collision, and
warns the driver, and in some cases activates the braking function.
The ECU exchanges information as required with the E-Pretensioner,
the Variable Signal Analyser (VSA) and the Meter Unit (see below).
VSA-ECU integrated hydraulic unit: Receives information
from the various sensors, and sends this information to the CMS
ECU and other control units. Also controls the brake hydraulic unit
to activate the brakes based on instructions from the CMS ECU.
E-Pretensioner ECU: Sends instructions to the motorized
E-Pretensioner to retract the seatbelt, based on braking instruction
signals from the CMS ECU and electronically controlled brake assist
signals.
E-Pretensioner: Retracts the seatbelt using an internal
motor, based on instructions from the E-Pretensioner ECU. Used in
combination with conventional pretensioners.
Meter unit: Receives signals from the CMS ECU, and warns
the driver of potential danger using a buzzer and a visual warning.
Source: May
2003 article from Honda.com.au
Delco Electronics developed the FOREWARN system.
This system warns the driver of an impending collision, but does
not automatically take control of the vehicle. The integrated warning
system incorporates four basic steps: road object sensing, collection
of vehicle data, data processing and threat assessment, and driver
warning execution. To fulfill these tasks, vehicles are equipped
with two front sensors (laser radar and microwave radar), a rear
sensor, and driver warning devices (head-up display, audio, and
a brake pulse).
The radar sensors measure and report the position and
relative velocity of road objects in the spaces ahead and behind the
vehicle. This information is combined with data from
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sensors on the vehicle itself (vehicle speed,
steering angle, brake status and gear position, among others)
to determine which of the detected objects are on the vehicle's
path. An algorithm is used to prioritize collision threats.
The range and time to collision is calculated as a function
of relative speed and heading, and is compared to typical
driver behavior (average following headway, projected braking
distance and time). If the driver of the CAS-equipped vehicle
fails to brake or steer, then the appropriate warnings are
enabled.
|
| Radar Features |
Mechanical Scan Radar |
Switched Beam Radar |
| Frequency |
77 GHz. |
77 GHz. |
| Power |
under 10 mW. |
under 10 mw |
| Modulation |
FMCW |
FMCW |
| Aperture |
102x178 mm. |
127 mm. (dia) |
| Scan Mechanism |
Gimballed antenna |
Multiple fixed beams |
| Scan Time |
100 msec. |
100 msec. |
| Field of View |
16 deg. |
22 deg. |
| Range |
Over 100 m. |
Over 100 m. |
| Source: Schumacher et
al., 1996 |
|
|
| Warning thresholds
can be adjusted in real-time, depending upon the external environmental
conditions (windshield wiper status), the vehicle's state (tire
pressure), or estimated driver level of attention (if the audio
controls are being adjusted, it is assumed that the driver is
not paying full attention to the roadway). |
Beginning in 1995, Mazda has been testing its Advanced Safety
Vehicle (ASV). Its most recent version of the ASV bears the following
features:
- Full speed range adaptive cruise control system with brake
control
With this feature, the distance between two vehicles is maintained
by adjusting the speed within the range set by the driver based
on information from a Laser radar (lidar). This enables control
in all speed ranges, including high speed driving on motorways,
and mid-low range daily driving, and even when stopping. This
releases the driver from frequent speed adjustments helping to
alleviate driver fatigue.
- Advanced front-lighting system
This safety feature controls distribution of luminous intensity
emitted from headlamps during the night according to driving conditions,
road conditions, and steering angle. The distribution area has
been enlarged to improve driver visibility and recognition of
traffic signs and pedestrians.
- Forward obstacle information/warning system (pedestrian warning)
This safety feature judges the degree of danger based on the distance
between the vehicle and an object in front measured by a laser
radar, and the vehicle's speed/braking status. In accordance with
the degree of danger, appropriate warning is given to the driver
using visual and sound information to reduce the number of collisions
with vehicles ahead and pedestrians who are in the vehicle's path.
- Neck injury mitigation system for rear-end collision
With this system, the seatbelt restrains passengers in an appropriate
posture just before a rear-end collision. It can predict a rear-end
collision by detecting the distance from and the speed of a following
vehicle using a laser radar mounted at the rear of the vehicle.
When the system predicts a rear-end collision, the seatbelt is
wound up by a motor to pull passengers back into the seatback.
As a result, it reduces the distance between the passengers' head
and headrest, minimizing the severity of whiplash injuries.
Source: December
2002 article from Mazda.com
First initiated in 1998, the DISTRONIC system is now installed in
more than 40,000 passenger cars (in the CLK, E, S, CL and SL-Classes).
A radar sensor behind the radiator grille enables the system to
maintain a constant distance to the vehicle in front. The proximity
and cruise control system can also improve road safety levels. The
DISTRONIC system uses a micro-computer to process signals from the
radar sensor; within this sensor, three transmission and receiving
units scan the full width of a three-lane motorway over a distance
of approximately 100 marts and recognize any moving vehicles ahead.
The reflection of the radar impulses and the change in their frequency
enables the system to calculate the correct distance and the relative
speed between the vehicles.
If the distance to the vehicle in front reduces, the proximity
and cruise control system immediately reduces acceleration or
should this be necessary applies the brake. Once the distance
increases again, DISTRONIC steps in again as a conventional cruise
control system and, at speeds of between 30 and 180 km/h, will maintain
the desired speed as programmed. If more drastic action should become
necessary, the system will alert the driver with a warning light
in the instrument cluster and with an acoustic signal. In this case
the driver must apply the brakes her or himself. The findings of
the DaimlerChrysler research division show that the reaction time
of drivers using DISTRONIC is up to 40 per cent faster than that
of those without this assistance system.
Source: article
from new-cars.com
In 1999, Mitsubishi introduced its Driver Support System in
Japan, which supplements Adaptive Cruise Control with lane-departure
warning and side and rear monitoring through machine vision. The
millimeter wave radar sensor directs the car to slow down if the
distance to the leading car is too short, or if it detects an obstacle.
The forward-facing camera and a lane tracking system alert the driver
if he or she inadvertently wanders within the lane or drifts out
of the lane. If necessary, it will correct the steering and slow
the vehicle. The rear-facing stereo camera in the tailgate displays
its view on the large central monitor, eliminating rear blind spots.
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Authors: Francois Granet, Rosella
Picado, Lauren Smith. Last update: 08/05/03
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