-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathperception.html
More file actions
199 lines (185 loc) · 7.47 KB
/
perception.html
File metadata and controls
199 lines (185 loc) · 7.47 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<title>Slugbotics | SOMARS – Perception</title>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<!-- Navbar -->
<header class="navbar">
<div class="nav-container">
<div class="nav-logo">
<span class="slug-icon">🚁</span>
<span class="nav-title">Slugbotics | SOMARS</span>
</div>
<nav class="nav-links">
<a href="index.html">Home</a>
<div class="nav-item has-dropdown">
<a href="team.html" class="nav-link-with-dropdown active">Team</a>
<div class="dropdown">
<a href="mechanical.html">Mechanical</a>
<a href="embedded.html">Embedded Systems</a>
<a href="perception.html">Perception</a>
<a href="simulations.html">Simulations</a>
</div>
</div>
<a href="sponsors.html">Sponsors</a>
<a href="index.html#contact">Contact</a>
</nav>
<button class="nav-toggle" id="navToggle">☰</button>
</div>
</header>
<!-- Hero -->
<section class="hero">
<div class="hero-emoji-bg">👁️</div>
<div class="hero-overlay"></div>
<div class="hero-content">
<h1>Perception</h1>
<p>Computer vision for autonomous navigation and real-time object detection from the air.</p>
</div>
</section>
<!-- Who we are -->
<section id="about" class="section-split">
<div class="split-text">
<h2>Who We Are</h2>
<p>
The Perception subteam gives the drone its "eyes." We develop the
computer vision pipelines that let the drone see the world below,
identify competition targets, and feed spatial information back to
the autonomy stack.
</p>
<p>
We work with onboard cameras, train detection models, and implement
real-time inference pipelines that must run reliably at altitude
while the drone is flying autonomously.
</p>
</div>
<div class="split-image">
<div class="split-emoji">
📷
<span class="emoji-label">[ Perception / camera feed screenshot — TO BE FINISHED LATER ]</span>
</div>
</div>
</section>
<!-- What we work on -->
<section id="work" class="section alt">
<h2>What We Work On</h2>
<div class="card-grid" style="margin-top:1.25rem;">
<div class="info-card">
<h3>🎯 Target Detection & Classification</h3>
<p style="font-size:0.95rem; color:#c4dcc4; margin-top:0.35rem;">
Training and deploying object detection models (e.g., YOLO-based) to
locate and classify competition targets — shapes, letters, colors, and
objects — from aerial imagery.
</p>
</div>
<div class="info-card">
<h3>🗺️ Geolocation</h3>
<p style="font-size:0.95rem; color:#c4dcc4; margin-top:0.35rem;">
Computing GPS coordinates of detected targets by combining camera
geometry, drone pose (GPS + attitude), and ground-plane projection.
</p>
</div>
<div class="info-card">
<h3>🚧 Obstacle Avoidance Vision</h3>
<p style="font-size:0.95rem; color:#c4dcc4; margin-top:0.35rem;">
Detecting and localizing aerial obstacles (e.g., balloon obstacles in
SUAS) using camera feeds so the autonomy stack can plan safe paths.
</p>
<span class="placeholder-note">TO BE FINISHED LATER — detail specific approach</span>
</div>
<div class="info-card">
<h3>🔬 Dataset Collection & Training</h3>
<p style="font-size:0.95rem; color:#c4dcc4; margin-top:0.35rem;">
Building labeled datasets of aerial imagery and training detection
models. We use simulation renders and real field data to improve
model robustness.
</p>
</div>
</div>
</section>
<!-- Tech stack -->
<section id="tech" class="section">
<h2>Technology</h2>
<p>Our perception pipeline is built with:</p>
<ul class="skills-list" style="margin-top:0.75rem;">
<li><strong>Framework:</strong> Python, PyTorch / TensorFlow</li>
<li><strong>Detection:</strong> <span class="placeholder-note">TO BE FINISHED LATER — e.g., YOLOv8, custom model</span></li>
<li><strong>Camera:</strong> <span class="placeholder-note">TO BE FINISHED LATER — camera model and resolution</span></li>
<li><strong>ROS 2 integration:</strong> Publishes detection messages consumed by the Embedded Systems autonomy stack</li>
<li><strong>Ground truth validation:</strong> <span class="placeholder-note">TO BE FINISHED LATER</span></li>
</ul>
<span class="placeholder-note" style="margin-top:1rem; display:block;">TO BE FINISHED LATER — add architecture diagram and model benchmarks</span>
</section>
<!-- Pipeline diagram placeholder -->
<section id="pipeline" class="section alt">
<h2>Pipeline Overview</h2>
<p>Below is a high-level overview of our perception pipeline from raw camera input to target geolocation output.</p>
<div class="stack-diagram-placeholder">
📊
<span class="emoji-label">[ Perception pipeline diagram — TO BE FINISHED LATER ]</span>
</div>
</section>
<!-- Leads -->
<section id="leads" class="section alt">
<h2>Leads</h2>
<div class="member-grid leads-grid">
<div class="member-card lead-card">
<div class="member-avatar-emoji">👁️</div>
<h3 class="placeholder-note" style="display:block; margin:0 auto 0.25rem;">TO BE FINISHED LATER</h3>
<p class="member-major">Major</p>
<p class="member-role">Year · Perception Lead</p>
</div>
</div>
</section>
<!-- Members -->
<section id="members" class="section">
<h2>Meet the Perception Team</h2>
<p><span class="placeholder-note">TO BE FINISHED LATER — add team member cards</span></p>
<div class="member-grid" style="margin-top:1.25rem;">
<div class="member-card">
<div class="member-avatar-emoji">👤</div>
<h3>Member Name</h3>
<p class="member-major">Computer Science</p>
<p class="member-role">Focus: Detection models</p>
</div>
<div class="member-card">
<div class="member-avatar-emoji">👤</div>
<h3>Member Name</h3>
<p class="member-major">Computer Science</p>
<p class="member-role">Focus: Geolocation</p>
</div>
<div class="member-card">
<div class="member-avatar-emoji">👤</div>
<h3>Member Name</h3>
<p class="member-major">Any major</p>
<p class="member-role">Focus: Data & training</p>
</div>
</div>
</section>
<!-- Meetings -->
<section id="meetings" class="section alt">
<h2>Meeting Times</h2>
<div class="info-card wide">
<p>Perception meets for model development, dataset work, and pipeline integration.</p>
<div class="meeting-grid">
<div class="meeting-slot">
<h3>Vision Dev Session</h3>
<p><span class="placeholder-note">TO BE FINISHED LATER</span></p>
<p class="card-meta">Location: SlugWorks / Remote</p>
</div>
<div class="meeting-slot">
<h3>Hardware & Testing</h3>
<p><span class="placeholder-note">TO BE FINISHED LATER</span></p>
<p class="card-meta">Location: SlugWorks BE-49</p>
</div>
</div>
<p class="card-meta" style="margin-top:0.75rem;">
No prior CV experience needed — we'll get you up to speed.
</p>
</div>
</section>
<script src="script.js"></script>
</body>
</html>