[docs]
class LaneDetection:
"""
.. impl:: Lane Marking Detection Algorithm
:id: IMPL_001
:links: SWREQ_001, SWARCH_001
Implements the lane marking detection algorithm using camera inputs.
"""
[docs]
def detect_lane_markings(self, camera_feed):
"""
.. impl:: Lane Deviation Warning
:id: IMPL_002
:links: SWREQ_002, SWARCH_001
Analyzes the camera feed to identify lane deviations and trigger warnings.
"""
# Implementation here
pass
[docs]
def apply_steering_correction(self, lane_data):
"""
.. impl:: Steering Correction Algorithm
:id: IMPL_003
:links: SWREQ_003, SWARCH_001
Provides corrective steering actions to keep the vehicle within the lane.
"""
# Implementation here
pass
[docs]
class AdaptiveCruiseControl:
"""
.. impl:: Radar-Based Distance Measurement
:id: IMPL_004
:links: SWREQ_004, SWARCH_002
Measures distance to the vehicle ahead using radar.
"""
[docs]
def measure_distance(self, radar_data):
"""
.. impl:: Speed Control Integration
:id: IMPL_005
:links: SWREQ_005, SWARCH_002
Adjusts vehicle speed dynamically based on radar measurements.
"""
# Implementation here
pass
[docs]
def adjust_speed(self, target_speed):
"""
.. impl:: Adaptive Speed Limits
:id: IMPL_006
:links: SWREQ_013, SWARCH_002
Adjusts the speed to maintain legal limits and safe following distances.
"""
# Implementation here
pass
[docs]
class TrafficSignRecognition:
"""
.. impl:: Speed Limit Sign Detection
:id: IMPL_014
:status: closed
:links: SWREQ_021, SWARCH_007
Detects posted speed limit signs from front camera input.
"""
[docs]
def detect_speed_limit(self, camera_feed):
"""
.. impl:: Speed Limit Publication
:id: IMPL_015
:status: closed
:links: SWREQ_021, SWARCH_007
Extracts and returns the recognized speed limit for downstream consumers.
"""
if isinstance(camera_feed, dict):
speed_limit = camera_feed.get("speed_limit")
return speed_limit if speed_limit is not None else 0
if isinstance(camera_feed, int):
return camera_feed
return 30 if camera_feed else 0
[docs]
class CollisionAvoidance:
"""
.. impl:: Collision Risk Estimation
:id: IMPL_007
:links: SWREQ_006, SWARCH_003
Predicts collision risk using real-time sensor data.
"""
[docs]
def detect_collision_risk(self, sensor_data):
"""
.. impl:: Multi-Object Tracking
:id: IMPL_008
:links: SWREQ_015, SWARCH_003
Tracks multiple objects to assess potential collision risks.
"""
# Implementation here
pass
[docs]
def apply_emergency_braking(self):
"""
.. impl:: Emergency Brake Activation
:id: IMPL_009
:links: SWREQ_007, SWARCH_003
Activates emergency braking when a collision is imminent.
"""
# Implementation here
pass
[docs]
class PedestrianDetection:
"""
.. impl:: Pedestrian Detection Algorithm
:id: IMPL_010
:links: SWREQ_008, SWARCH_004
Detects pedestrians using a sensor fusion approach.
"""
[docs]
def detect_pedestrians(self, sensor_data):
"""
.. impl:: Pedestrian Path Prediction
:id: IMPL_011
:links: SWREQ_017, SWARCH_004
Predicts the movement of detected pedestrians.
"""
# Implementation here
pass
[docs]
def alert_driver(self):
"""
.. impl:: Pedestrian Alert System
:id: IMPL_012
:links: SWREQ_009, SWARCH_005
Alerts the driver with audio and visual warnings about detected pedestrians.
"""
# Implementation here
pass
[docs]
def initiate_emergency_brake(self):
"""
.. impl:: Emergency Braking for Pedestrians
:id: IMPL_013
:links: SWREQ_010, SWARCH_006
Applies emergency braking to prevent collisions with pedestrians.
"""
# Implementation here
pass
[docs]
class BlindSpotMonitor:
"""
.. impl:: Blind Spot Sensor Fusion
:id: IMPL_016
:status: open
:links: SWREQ_022, SWARCH_008
Fuses rear-corner radar and side-camera detections into a per-zone occupancy state.
"""
[docs]
def update_zone_occupancy(self, radar_tracks, camera_detections):
"""
.. impl:: Blind Spot Zone Update
:id: IMPL_017
:status: open
:links: SWREQ_022, SWARCH_008
Returns the occupancy state for the left and right blind spot zones.
"""
zones = {"left": False, "right": False}
for track in radar_tracks or []:
side = track.get("side") if isinstance(track, dict) else None
if side in zones:
zones[side] = True
for detection in camera_detections or []:
side = detection.get("side") if isinstance(detection, dict) else None
if side in zones:
zones[side] = True
return zones
[docs]
def evaluate_lane_change(self, zones, turn_signal):
"""
.. impl:: Lane Change Intent Arbitration
:id: IMPL_018
:status: open
:links: SWREQ_023, SWARCH_008
Returns True when the turn signal points at an occupied blind spot zone.
"""
if turn_signal not in ("left", "right"):
return False
return bool(zones.get(turn_signal))
[docs]
class DrowsinessMonitor:
"""
.. impl:: Driver Drowsiness Monitor
:id: IMPL_019
:status: open
:links: SWREQ_024, SWARCH_009
Aggregates eye-state observations from the cabin camera into a drowsiness score.
"""
DROWSY_THRESHOLD = 0.6
def __init__(self):
self._score = 0.0
[docs]
def estimate_eye_state(self, frame):
"""
.. impl:: Eye Aspect Ratio Estimation
:id: IMPL_020
:status: open
:links: SWREQ_024, SWARCH_009
Returns an eye-closed indicator derived from the input frame.
"""
if isinstance(frame, dict):
ratio = frame.get("eye_aspect_ratio")
if ratio is None:
return 0.0
return 1.0 if ratio < 0.2 else 0.0
return 0.0
[docs]
def update(self, frame):
"""
.. impl:: Drowsiness Score Aggregation
:id: IMPL_021
:status: open
:links: SWREQ_025, SWARCH_009
Updates the smoothed drowsiness score and reports whether an alert should fire.
"""
observation = self.estimate_eye_state(frame)
self._score = 0.7 * self._score + 0.3 * observation
return self._score >= self.DROWSY_THRESHOLD
[docs]
class ParkingAssist:
"""
.. impl:: Automated Parking Assist
:id: IMPL_022
:status: open
:links: SWREQ_026, SWARCH_010
Detects available parking slots and plans a park trajectory.
"""
MIN_PARALLEL_LENGTH = 5.0
MIN_PERPENDICULAR_WIDTH = 2.4
[docs]
def detect_slot(self, ultrasonic_readings, slot_kind):
"""
.. impl:: Parking Slot Recognition
:id: IMPL_023
:status: open
:links: SWREQ_026, SWARCH_010
Returns the first slot whose dimensions clear the configured minimum.
"""
threshold = (
self.MIN_PARALLEL_LENGTH
if slot_kind == "parallel"
else self.MIN_PERPENDICULAR_WIDTH
)
for index, reading in enumerate(ultrasonic_readings or []):
if reading >= threshold:
return {"index": index, "kind": slot_kind, "size": reading}
return None
[docs]
def plan_trajectory(self, slot):
"""
.. impl:: Park Trajectory Planning
:id: IMPL_024
:status: open
:links: SWREQ_027, SWARCH_010
Returns a list of waypoints leading into the chosen slot.
"""
if slot is None:
return []
kind = slot.get("kind", "perpendicular")
if kind == "parallel":
return ["align", "reverse_into_slot", "straighten"]
return ["align", "forward_into_slot"]