What makes the OxTS RT-Range the preferred reference tool for testing and verifying advanced driver assistance systems (ADAS)? The RT-Range is the most comprehensive test solution for the development of ADAS sensors giving a large number of highly accurate vehicle-to-vehicle and lane positioning measurements. Many leading vehicle manufacturers world-wide rely on the compact ADAS test solution to benchmark and improve radar, vision and lidar sensors used in active safety systems. It is unique in that it offers a wealth of invaluable features which provide engineers with a real advantage in their research into active vehicle safety.
We are constantly working to include more features in the RT-Range. In the past we have developed many unique features like the time-to-collision and time gap outputs, longitudinal offset for balloon car testing, 3D range calculations, triggered logging capabilities, car-to-pedestrian tracking, graphical presentation of the vehicle positions with Bird’s Eye View, or the compatibility with Anthony Best Dynamics (ABD) in-vehicle robots. By combining the ABD in-vehicle robots with the RT-Range it is easier to benchmark cars, quicker to obtain repeatable results and safer to carry out tests which could be dangerous for human test drivers. Using the RT-Range with ABD’s robots allows engineers to trigger tests from the RT-Range measurements. For example you can trigger a lead vehicle to cut in front of an approaching vehicle at a specific range.
Another big improvement in the new software is the representation of Target vehicles as polygons. The RT-Range computes the closest range from the Hunter vehicle to a polygon representation of the Target vehicle, automatically swapping points and even interpolating between polygon points. Polygons are more representative of real-world vehicles compared to single points. Especially more advanced tests, like blind spot detection or collision detection at junctions, are easier to perform when a polygon is used.
Other advantages of using polygons include the ability to have hidden target vehicles. The compact system can compute whether a second target is visible and whether the radar should be able to identify it. This is needed to benchmark radar performance when acquiring new targets. The RT-Range even measures the percentage of the target that is obscured or hidden behind another target.
When testing vision systems for lane departure warning (LDW) it is important to have a measure of the curvature of the lanes. Using new outputs from the RT-Range the curvature of each line is computed and output over the CAN bus. The output is available in real-time so that it can be captured and compared to real-time sensor data. Another key measurement for LDW systems is the angle of the vehicle within the lane. The new RT-Range software now computes the relative heading of the line markings compared to the heading of the vehicle.
From ACC to Forward Collision Warning and Lane Keep Assistance, the RT-Range offers a highly accurate and complete solution for evaluating and benchmarking sensors used for ADAS. To find out how the RT-Range can help you develop the driver assistance systems of tomorrow, please visit www.oxts.com/rt-range or contact our Sales Team.