This is a continuation of article from day before yesterday on benchmark cases for aerial drone image analytics:

Case 3: types of hazards detected:

• Cars Parked in Bicycle Lanes: Vehicles obstructing dedicated bike lanes can force cyclists into traffic.

• Pedestrians Crossing Intersections: Pedestrians may cross at intersections unpredictably, sometimes against traffic signals.

• Car Crossings at Intersections: Vehicles turning or crossing at intersections can pose risks to cyclists and pedestrians.

• Improperly Marked Crosswalks: Lack of clear signage or faded markings can lead to confusion for pedestrians and drivers.

• Construction Zones: Temporary constructions can create obstacles and require detours, increasing risks.

• Poor Visibility Areas: Curves, or poorly lit areas can reduce visibility for both cyclists and drivers.

• Cyclists Riding on Sidewalks: In some areas, cyclists riding on sidewalks can surprise pedestrians.

• Vehicle Door Zones: Cyclists are at risk from opened car doors when riding near parked vehicles.

• Inadequate Lighting: Poorly lit areas can make it difficult for drivers to see cyclists and pedestrians.

• Obstructed Views: Trees, signs, or buildings may block sightlines at intersections.

• Weather Conditions: Rain, snow, or ice can affect road conditions and visibility.

• Bicycle Infrastructure: Inadequate or poorly designed bike paths can create hazardous situations.