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AUTONOMOUS VEHICLES A step further for ADAS testing Developers at Racelogic


have taken dynamic ADAS testing to the next stage to cater for enhanced vision systems and the


need for greater accuracy in mapping vehicle contact points.


a surprisingly short time frame. Some predictions state 2020 as the year by which the technology and infrastructure will be in place to make this a reality. Whether or not this is feasible, there is no denying the leaps in technology that will ultimately deliver personal transport in which every vehicle occupant is a passenger. A degree of autonomy is already here with Advanced Driver Assist Systems (ADAS) that are multiplying and merging. The combination of radar, lidar, GPS and vision will ensure these will eventually consolidate into a full vehicular control system. The development, testing and validation of such


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systems have given rise to an automotive testing market that has seen dramatic upheaval in recent years. A good example comes from Racelogic and its range of VBOX GPS data loggers: whilst maintaining a core competency in vehicle dynamics testing, recent years have seen significant development in providing test and validation systems for ADAS. A recent update to the flagship VBOX 3i SL-RTK introduces some interesting new features.


CATERING FOR IMPROVED VISION SYSTEMS Traffic sign recognition systems are due to be greatly improved thanks to a new generation of high- definition cameras with better range than the current VGA resolution units. The new systems need to be tested for this greater range and a higher number of potential recognition markers, so the VBOX Multiple Static Points application allows for up to 100 such targets to be surveyed, creating a GPS map of their locations. The desired minimum and maximum detection angle and distance for these targets are then set, and the vehicle driven along the route. When the points fall within the detection zone, the


utonomous driving is a popular topic at the moment, with various announcements from manufacturers who are confident that their cars will be doing the driving for us within


❱ ❱ Mapping vehicle shape provides more accuracy in dynamic distance calculations between moving vehicles for testing collision avoidance systems


❱ ❱ The VBOX3i RTK system can achieve 2cm positional accuracy in ADAS testing


range, angle and time-to-collision parameters of up to five of them are simultaneously displayed and logged, with further targets being tracked as the closer ones are passed by. The GPS data is then compared to the performance of the system under test.


VEHICLE EDGE AWARENESS Traditionally, ADAS testing has been longitudinally focused with singular contact points on either the front or rear of the target and subject vehicles. The offset between antenna and this single point is then measured and entered into the data logging system to calculate the true separation distance. With vehicle’s now being developed to have multiple sensors to monitor in all directions however, engineers need a method to test and validate how the vehicle’s systems monitor potential hazards or its proximity to other road users. VBOX allows you to ‘map’ the shape of the car by surveying up to twenty-four points around the chassis. This produces a very accurate polygonal shape of the vehicle, with the VBOX measuring the distance between the closest mapped points on the subject and target throughout the procedure. Multiple Contact Points increase the accuracy and


shortens test times when validating Blind Spot and Rear Cross Path Detection, AEB, Adaptive Cruise Control, Forward Collision Warning and Park Assist. As potentially life-saving safety systems, these technologies are already requiring thorough validation and as they merge to form the underlying sensing framework for full autonomy, the ability to provide robust, repeatable test regimes becomes vital. To this end, Racelogic is striving to continue developing test equipment to aid manufacturers in the development of autonomous vehicle technology.


Automotive Test & Validation 2018 /// 9


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