官术网_书友最值得收藏!

Avoiding agents

In crowd-simulation games, it would be unnatural to see agents behaving entirely like particles in a physics-based system. The goal of this recipe is to create an agent capable of mimicking our peer-evasion movement.

Getting ready

We need to create a tag called Agent and assign it to those game objects that we would like to avoid, and we also need to have the Agent script component attached to them.

Getting ready

An example of how should look the Inspector of a dummy agent to avoid

How to do it...

This recipe will require the creation and handling of just one file:

  1. Create the AvoidAgent behavior, which is composed of a collision avoidance radius and the list of agents to avoid:
    using UnityEngine;
    using System.Collections;
    using System.Collections.Generic;
    
    public class AvoidAgent : AgentBehaviour
    {
        public float collisionRadius = 0.4f;
        GameObject[] targets;
    }
  2. Implement the Start function in order to set the list of agents according to the tag we created earlier:
    void Start ()
    {
        targets = GameObject.FindGameObjectsWithTag("Agent");
    }
  3. Define the GetSteering function:
    public override Steering GetSteering()
    {
        // body
    }
  4. Add the following variables to compute distances and velocities from agents that are nearby:
    Steering steering = new Steering();
    float shortestTime = Mathf.Infinity;
    GameObject firstTarget = null;
    float firstMinSeparation = 0.0f;
    float firstDistance = 0.0f;
    Vector3 firstRelativePos = Vector3.zero;
    Vector3 firstRelativeVel = Vector3.zero;
  5. Find the closest agent that is prone to collision with the current one:
    foreach (GameObject t in targets)
    {
        Vector3 relativePos;
        Agent targetAgent = t.GetComponent<Agent>();
        relativePos = t.transform.position - transform.position;
        Vector3 relativeVel = targetAgent.velocity - agent.velocity;
        float relativeSpeed = relativeVel.magnitude;
        float timeToCollision = Vector3.Dot(relativePos, relativeVel);
        timeToCollision /= relativeSpeed * relativeSpeed * -1;
        float distance = relativePos.magnitude;
        float minSeparation = distance - relativeSpeed * timeToCollision;
        if (minSeparation > 2 * collisionRadius)
            continue;
        if (timeToCollision > 0.0f && timeToCollision < shortestTime)
        {
            shortestTime = timeToCollision;
            firstTarget = t;
            firstMinSeparation = minSeparation;
            firstRelativePos = relativePos;
            firstRelativeVel = relativeVel;
        }
    }
  6. If there is one, then get away:
    if (firstTarget == null)
        return steering;
    if (firstMinSeparation <= 0.0f || firstDistance < 2 * collisionRadius)
        firstRelativePos = firstTarget.transform.position;
    else
        firstRelativePos += firstRelativeVel * shortestTime;
    firstRelativePos.Normalize();
    steering.linear = -firstRelativePos * agent.maxAccel;
    return steering;

How it works...

Given a list of agents, we take into consideration which one is closest, and if it is close enough, we make it so the agent tries to escape from the expected route of that first one according to its current velocity so that they don't collide.

There's more

This behavior works well when combined with other behaviors using blending techniques (some are included in this chapter); otherwise it's a starting point for your own collision avoidance algorithms.

主站蜘蛛池模板: 南乐县| 无极县| 察隅县| 托里县| 呼玛县| 衡南县| 吉木萨尔县| 商水县| 新和县| 吉安县| 莱州市| 金阳县| 新密市| 沙坪坝区| 雷山县| 米脂县| 昌都县| 瓮安县| 阳山县| 枝江市| 北宁市| 元氏县| 林芝县| 惠东县| 庐江县| 山西省| 通海县| 思南县| 莆田市| 花莲市| 孟津县| 柳林县| 泸州市| 张北县| 富平县| 鄄城县| 屏边| 襄樊市| 蓝田县| 宿州市| 吴川市|