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AWR1843AOPEVM: AWR1843AOPEVM

Part Number: AWR1843AOPEVM
Other Parts Discussed in Thread: AWR1843

Hello,

Below is the details of testing: 

board:  AWR1843 AOP EVM

Lab: Obstacle detection for AOP

We used a Pole as an Obstacle and there are few questions we needed to ask:-

1)How to improve the Accuracy of Cluster coordinates. We were getting a error margin of 10-15cm esp when obstacle is closer to radar(0-40cm)

2)We want to find out the dimension of the Obstacle. Can a cluster size give us the dimension of the Obstacle. If yes, How accurate is it? (please refer attached data below)

3)How to eliminate the Ghost points when

Type:1.With no obstacles in front of the radar

Type:2 Reflections from the obstacle

I am attaching a Binary, Image below for reference:-

Cluster X Cluster Y Cluster Z Range Cluster X Size Cluster Y Size Cluster Z Size

-3

130 -76.8 151.0207 26.4 23.2 11.2

Actual Dimension of Obstacle:-55x38x37 (cms)

Warm regards

Ayush Shetty

  • Hi,

    In order to study static obstacle detection I also recommend using the mmWave SDK 3.6 oob demo. The Visualizer of the oob demo includes a Range Profile that helps to understand the environment and noise level.

    1)How to improve the Accuracy of Cluster coordinates. We were getting a error margin of 10-15cm esp when obstacle is closer to radar(0-40cm)

    I assume this error margin is for the range. Is it at 0 deg angle?

    2)We want to find out the dimension of the Obstacle. Can a cluster size give us the dimension of the Obstacle. If yes, How accurate is it? (please refer attached data below)

    No, the cluster size is related to the detected points it does not allow to give the dimensions of the obstacle. With a radar sensor it will be very difficult to determine the size of the object because there is not sufficient angular resolution. There are no sufficient detected points to determine the size of the object.

    3)How to eliminate the Ghost points when

    Type:1.With no obstacles in front of the radar

    Type:2 Reflections from the obstacle

    First step is to understand where the ghost reflections are originating. Using the range profile in the mmwave SDK oob Visualizer is very useful for this task.

    thank you

    Cesar

  • Hey Cesar,

    For Question 1.We needed the coordinates of the obstacle but when i place an obstacle at [x,y]->(0,20cm) it shows (0,40cm).

    We observe a great error when the obstacle is close to radar.How do we tackle this issue

    Question 3.There was constant ghost point observed with no obstacle,we think its due to ground reflection.How can we irradicate this?

  • Hey Cesar,

    For the Carboard box mentioned above,we are attaching the GUI Screenshot.We were expecting the radar to detect multiple points along with edges of box but to the contrary radar is detecting the center of the box.Can you explain exactly why this behavior and could suggest ways to make the radar detect multiple points

    (Pls note:Radar height:82.5cm and Box Height is 40cm above ground.)

    Warm regards

    Ayush Shetty

  • Question 3.There was constant ghost point observed with no obstacle,we think its due to ground reflection.How can we irradicate this?

    Hi,

    The only way to remove detections from the floor would be to determine the elevation information and filter out the points under a certain threshold.

    For Question 1.We needed the coordinates of the obstacle but when i place an obstacle at [x,y]->(0,20cm) it shows (0,40cm).

    Hi,

    If you place the object at 100cm, 80cm, 60cm, 40cm, 20cm, can you please let me know what the detection is?

  • For the Carboard box mentioned above,we are attaching the GUI Screenshot.We were expecting the radar to detect multiple points along with edges of box but to the contrary radar is detecting the center of the box.Can you explain exactly why this behavior and could suggest ways to make the radar detect multiple points

    Hi,

    Due to the angular resolution of the antenna which is around 30 deg, it will be challenging to detect multiple points. This is the reason why you are only seeing the strongest reflection in the center of the box.

    If two static objects are in the same range bin, than they will not be detected separately if the angle between the objects is smaller than the angular resolution.

    Thank you

    Cesar

  • We are facing one more issue with obstacle detection:-

    A cube(Mild steel)of Dimension 40x40x40cm was kept in front of the radar. For most cases we are getting good detection except for one orientation where the cube is edge-proned i.e The edge of the cube was in front of the radar.I'm attaching a Top-view  pictorial representation of  the curb below:-

    1.Could this be happening because the edge is deflecting the chirps or edge has less cross sectional area?

    2.Any solution to tackle this issue?

    Warm regards

    Ayush Shetty

  • Hi,

    Yes, this is a challenging use case. You are correct, the electromagnetic waves are deflected. This is the reason why there are no detections.

    If there are no reflections from an object, it is not possible to detect it. Even if it moves.

    The detections could improve for example if the object is moving and is not always oriented with the edge towards the sensor.

    If it is always oriented with edge than it will not be possible to improve.

    thank you

    Cesar

  • Thank you Cesar.

    I'll keep in mind about this limitation. Might use 2 radar at different postion to overcome this limitation 

    Warm regards

    Ayush Shetty

  • Thank you

    Cesar

  • Hey Cesar,

    For a given Obstacle we won't get the Dimension but we wanted to know if we can get point cloud data around the obstacle. For example for a big obstacle we should get lot of point clouds across the whole obstacle but from via radar we are getting a coordinate which is close to the center of the obstacle.

    Can we achieve multiple point cloud in obstacle detection, If not is there any lab via which we can achieve this?

    Warm regards

    Ayush Shetty

  • Hi,

    Based on previous communications I assume this use case is about static detection.

    Usually a radar sensor uses three types of information to detect an object: range, velocity, angle.

    In the case of static detection, there is no velocity information, so the only information available to the sensor are the range and the angle.

    If two objects are in the same range bin, than the only information available to differentiate them would be the angle.

    As mentioned in a previous response, theoretically two objects in the same range bin can be separated only if the angle between the objects is larger than the angular resolution provided by the antenna array.

    So, I think the observations in the picture provided are not the result from the demo but a limitation of the antenna.

    Thank you

    Cesar