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https://github.com/amanjeetsingh150/ubercaranimation

A demo app showing movement of car on map like in Uber.
https://github.com/amanjeetsingh150/ubercaranimation

android android-animation animations uber value-animator

Last synced: 8 days ago
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A demo app showing movement of car on map like in Uber.

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README

        

# UberCarAnimation
A demo application which demonstrates movement of car on map developed after inspiration from Uber.



# Demo



Youtube Link: https://www.youtube.com/watch?v=JIs4kLZ8qQI



APIs and Libraries used


  • Google Maps Api

  • Google Maps Directions API

  • Volley




# Explained Logic
Steps:


  • Parse the "overview_polyline" from the JSON by providing the appropriate GET parameters. For eg:


    "https://maps.googleapis.com/maps/api/directions/json?" +
    "mode=driving&"
    + "transit_routing_preference=less_driving&"
    + "origin=" + latitude + "," + longitude + "&"
    + "destination=" + destination + "&"
    + "key=" + getResources().getString(R.string.google_directions_key)



  • Decode the polyline which will provide you with list of latitudes and longitudes that is List&ltLatLng&gt to be apt.

  • Setting up of Value animator:Create a value animator by providing the ofFloatValue, setting duration and adding update listener in Handler


    ValueAnimator valueAnimator = ValueAnimator.ofFloat(0, 1);
    valueAnimator.setDuration(3000);
    valueAnimator.setInterpolator(new LinearInterpolator());
    valueAnimator.addUpdateListener(new ValueAnimator.AnimatorUpdateListener() {
    @Override
    public void onAnimationUpdate(ValueAnimator valueAnimator) {
    //CODE

    });



  • In the value animator Update listener get the Animation fraction and evaluate the latitudes and longitudes as shown:


    v=valueAnimator.getAnimatedFraction();
    lng = v * endPosition.longitude + (1 - v)* startPosition.longitude;
    lat = v * endPosition.latitude + (1 - v)* startPosition.latitude;


    where v is animation fraction
    and startposition and endPostion refer to each pair of LatLng from the decoded list from polyline for eg (0,1) then (1,2) then(2,3)
    and so on.

    According to linear interpolation:
    The parameter 'v' defines where to estimate the value on the interpolated line, it is 0 at the first point and 1 and the second point.
    For interpolated values between the two points v ranges between 0 and 1.
    We evaluate values one by one between each pair of LatLng by traversing through the list.


  • Finally set position of marker to the new position, also evaluating the bearing between the consecutive points so that it seems car is turning literally
    and finally update camera as:


    marker.setPosition(newPos);
    marker.setAnchor(0.5f, 0.5f);
    marker.setRotation(getBearing(startPosition, newPos));
    mMap.moveCamera(CameraUpdateFactory
    .newCameraPosition
    (new CameraPosition.Builder()
    target(newPos)
    .zoom(15.5f)
    .build()));






# Running the project
The application uses Google Maps Api Key and Google Map Directions key. Get these api key on google developers console after enabling them for your project. Replace your google maps directions api key in strings.xml and google maps key in google_maps_api.xml. For convenience a TODO has been added there just follow them.


# Driver mode

The driver mode is the real world example of the situation where the driver app is communicating with user app and the car is animating accordingly.


Youtube Link: https://www.youtube.com/watch?v=-gTGJF7mZQI


Here the python script is acting like a driver for the user app.


# Explained Logic


  • Establish a MQTT broker by logging into one of the MQTT providers. I used CloudMQTT.

  • Create the instance for MQTT and generate credentials.

  • Integrate the MQTT Paho Client for android by including following in your app module build.gradle:

    implementation 'org.eclipse.paho:org.eclipse.paho.client.mqttv3:1.1.0'
    implementation 'org.eclipse.paho:org.eclipse.paho.android.service:1.1.1'


  • Fill your credentials in MQTTHelper class. The username, password and the server URI which is of form tcp://uri:port.

  • Similarly add them in UberMQTT.py file.

  • The Python script will be acting as driver and publishing the location on MQTT server in flex interval of 1 seconds using topic of location/track.
    The android app will connect to the broker and subscribe to the topic of kind location/+. As soon as the MQTT server receives the location it will push it to the android client.

  • We will receive location in form of String which will be converted to LatLng type by function convertStringToLatLng.

  • Then RxRelay is used to create stream of the LatLng's. Now as we need pair of LatLng for dispatching animation we will be taking buffer operator with count 2. This is shown below:
    In messageReceived callback:

    @Override
    public void messageArrived(String topic, MqttMessage message) throws Exception {
    String payload = new String(message.getPayload());
    LatLng currentLatLng = convertStringToLatLng(payload);
    Log.d(TAG, topic + " " + currentLatLng);
    latLngPublishRelay.accept(currentLatLng);
    }

    And subscribing to this relay with buffer 2:

    latLngPublishRelay
    .buffer(2)
    .observeOn(AndroidSchedulers.mainThread())
    .subscribe(new Consumer>() {

    @Override
    public void accept(List latLngs) throws Exception {
    emission++;
    animateCarOnMap(latLngs);
    }

    });



  • As soon as the Relay will emit two LatLng the animateCarOnMap function will dispatch animation through ValueAnimator. This animation will be based on same logic as was explained above.

# Developers



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