 
    Despite tremendous advances in machine vision techniques, the accuracy and reliability of camera-based detection systems suffer during periods of poor visibility where other technologies may offer an alternative.
Radar is one such technology. It too has seen significant development in recent years and according to
Navtech itself was set up in 1999 as a spin-off of a Sydney University project using radar for precisely locating stationary and moving objects for driverless vehicles in ports. Later the technology was developed for security and highway applications and Navtech now has installations in more than 40 countries.
“Radar cannot completely replace visual verification; what it does is overcome the limitations and provide additional capabilities and reliability,” says Navtech’s marketing director, Nigel Crisp. “Often authorities only consider radar when they are not getting what they need from their installed vision-based monitoring systems and there are three main challenges: technical; environmental; and financial,” he adds.
On the technical front, authorities want a high degree of automation often including automated alarms and camera control; they want maximum accuracy and range (to reduce the number of units required); and the minimum number of false alarms.
Environmental challenges include extreme temperatures, varying lighting  conditions including glare, reflections, dust, snow and ice which Crisp  says can cause problems for visual technologies and laser scanners.
 
tunnels and bridges,” Crisp concludes. 
     
As  radar does not depend on light it can work in  total darkness and   according to Crisp the technology is less susceptible  than vision-based   systems to vibration – for instance on a bridge being  crossed by  heavy  loads.
On  the financial side, he says authorities should consider the total cost  of ownership, as with a radar installation fewer cameras are needed and,  more importantly, the servicing requirements are far lower. 
 
Luca  Perletta, product manager at Navtech, explains: “Although machine  vision techniques can minimise the number of operators needed to monitor  the cameras, in applications like tunnels the cameras need regular  cleaning otherwise the number of false alarms becomes overwhelming.” 
 
False  alarms were a key factor in the decision to use Navtech’s radar for  incident detection in the Rennfast tunnels in Norway during an upgrade  to meet domestic and EU legislation. Tunnel operator Vegtrafikksentralen  (VTS) was suffering multiple false alarms at its centralised control  centre, from a video-based incident detection system deployed in another  of its tunnels which was fitted with 100 cameras. Over a six-month  period there was an average of more than 30 alarms per day but typically  only two or three required any action.
 
Perletta  adds: “In tunnels the cameras often need to be cleaned every six weeks  and that can mean lane closures which are very costly, disruptive for  users and potentially dangerous for workers and motorists. Radar is  unaffected by dust and is pretty much a case of installing it and  forgetting it is there. With Navtech’s systems a minor service is needed  every three years.”
 
With the  Rennfast tunnels (which have a combined length of 10.3km,  carry around  9,000 vehicles per day and are fitted with 160 cameras)  due for an  upgrade, VTS believed the level of false alarms from a  camera-based  monitoring system would be unsustainable. So it  commissioned Norwegian  consultants Multiconsult to consider alternative  solutions including  loops and radar. 
 
 
 
Radar  can  provide a black and white image but not of the quality required for  all  monitoring purposes so in critical situations like tunnels, bridges   and smart motorways, it has to be used in conjunction with normal   cameras. In such dual deployments the cameras are not required for   incident detection, stopped vehicles, debris or pedestrians so may not   require the highest resolution and can be spaced further apart.  Like   cameras, the radar works on line of sight so the road/tunnel layout is a   large factor in how many radar units are needed. 
 
In   Navtech’s case the equipment for highway applications can detect  people  over a 700m stretch of road and vehicles over 1km, and can   simultaneously monitor lanes travelling in opposite directions. Despite   this coverage, the energy transmitted is only 15mW – less than 10% of   that emitted by a mobile phone. 
 
In   the case of tunnel installations they are often designed with a degree   of overlapping to cover a ‘blind’ spot immediately beneath the radar   units that are usually mounted close to the roof of the tunnel. 
 
Furthermore,   with four rotations a second, delivering 400 data samples  per   revolution and by transmitting a signal at 77GHz, the company  says the   resolution is far higher than that of traditional radar  systems,   provides range accuracy of 25cm, and can distinguish between  vehicles   with 2° of azimuth (or bearing) separation. “You cannot  achieve that   resolution with a 24GHz or 10GHz system,” Perletta adds.
 
So what are the practical implications for highway engineers? 
 
“For    incident detection in a tunnel you would typically need a camera  every   60m or so - which is why, when you add in allowances for bends,  the   Rennfast tunnels have 160 cameras. We provided incident detection  for   both tunnels using only 24 radar units,” says Perletta. 
 
In    equipment costs in the tunnel installation he says the radar may have    been slightly more expensive than a camera-based alternative but both    the maintenance costs and rate of false alarms are much lower. “If  you   look on the open highway where each installation may require a  post,   power and communications to be installed, if you can reduce [the  cost of   a vision-based system] by a factor of six, the savings would  be   considerable.”  
 
Navtech’s    radar doesn’t use the conventional Doppler Effect, allowing it to  detect   stationary objects such as stopped vehicles or a lost load in  the   carriageway. To do this the system maps the empty carriageway,  including   signs, lights and other infrastructure or furniture. It then  compares   the received signal with the reference image to detect any   obstructions.  
 
Moving objects   are detected  by comparing successive scans to detect if an object  such  as a  pedestrian is moving within the covered area. As the  transmitter  scans a  full 360°, the system can be programmed to ignore  happenings  outside  the road boundary such as cows moving in a field  adjacent to  the highway  – although it can be configured to detect  wildlife such as  deer,  heading towards the highway.
 
In    Australia a Navtech system has been installed to detect stopped     vehicles and pedestrians on Bolte Bridge in Melbourne, but a ship     passing beneath the bridge would not trigger an alarm. In the UK, the     Highways Authority (now Highways England) is trialling Navtech’s radar     on a ‘Smart Motorway’ section where the hard shoulder has been   converted   into a running lane. “In such situations it is vital that   the  authority  detect a stopped vehicle or pedestrians as soon as   possible,  regardless  of lighting or weather conditions,” says Crisp.  
 
Currently     a10Mbit data connection transfers the raw radar data to the control     centre for processing and triggering of alarms. In the near future   ‘edge   processing’ will be employed either adjacent to the radar unit   or   incorporated within it, thereby reducing the network traffic to “a   few   kbps”.
 
In many  instances  the   radar system can be connected to the cameras in order  that they    automatically zoom in on any detected incident. “When the  system  detects   something the operator will immediately be able to  view the  scene –   they don’t have to start searching for the stopped  car or  pedestrian,”   says Crisp. “We typically get one false alarm per  radar  per day – so the   operators do investigate them rather than  ignore them  as happens with   higher false alarm rates.”
 
According     to Perletta, the radar’s rate of false alarms is 10 times better  than    with visual systems and is enhanced by creating modes where   particular   features are activated or disabled. For instance the radars   covering a   reversible lane can be preprogramed to expect the  reversed  traffic   direction while still monitoring for wrong-way  drivers, or  pedestrian   detection can be disabled when roadwork crews  are deployed,  while   retaining the stopped vehicle monitoring.  
 
“We     don’t necessarily compete with video verification systems. Radars     provide additional data and more complete situational awareness to the     operators. Which all helps to improve safety on our roads, tunnels  and   bridges," Crisp concludes.
On trial in America
         
Navtech is currently are applying for FCC approval to use 77GHz in the US and has a system being trialled in a high crash zone on the Minneapolis ring road. According to Crisp the initial feedback from the seven month trial is good with the single unit detecting a high number of stopping or reversing vehicles that were previously undetected. There were only two false alarms over the first three days.     
     
 
 
     
         
         
         
        



