A mobile mapping solution for VRU Infrastructure monitoring via low-cost LiDAR-sensors

Keyphrases

• Infrastructure Monitoring 100%
• Vulnerable Road Users 100%
• Mobile Mapping 100%
• Mapping Solution 100%
• Low-cost LiDAR 100%
• LiDAR 40%
• Handheld 40%
• Pedestrian 20%
• 3D Scanning 20%
• High Performance 20%
• Sensor Capability 20%
• Bump 20%
• Low Speed 20%
• LiDAR Sensor 20%
• Crowdsourcing 20%
• Precise Detection 20%
• Infrastructure Mapping 20%
• Smartphone 20%
• Road Infrastructure 20%
• New Classification 20%
• Cyclists 20%
• LiDAR Scanning 20%
• Point Cloud Generation 20%
• Semiconductor Materials 20%
• Pothole 20%
• Personal Devices 20%
• Urban Digital Twin 20%
• Twin Interface 20%
• Infrastructure Damage 20%
• Vehicular Infrastructure 20%
• Mean Percentage Error 20%
• Direction Error 20%
• Damage Depth 20%
• Urban Data Mining 20%
• User like 20%

Computer Science

• Infrastructure Monitoring 100%
• Point Cloud 50%
• Digital Twin 50%
• Data Mining 50%
• Sensor Capability 50%
• Overestimation 50%
• Semiconductor Material 50%

Earth and Planetary Sciences

• Mobile Mapping 100%
• Semiconductor (Material) 33%
• Mobile Phones 33%
• Expenditure 33%