IEEE Potentials Jan/Feb 2020
Sharad Sinha (Ed)
THEME: NEW MOBILITY
Contents:Driving toward new mobility
The autonomous mobility innovation lifecycle
Velocity measurement in automotive sensing: How FMCW radar and lidar can work together
Convolutional neural networks: Alternate drivers’ visual perceptions
The case against autonomous cars
Enabling commercial autonomous robotic space explorers
Self-driving vehicles: Key technical challenges and progress off the road
Examining the sensors that enable self-driving vehicles
Connected, autonomous cars: Passive pothole patrollers
Contents:Driving toward new mobility
The autonomous mobility innovation lifecycle
Velocity measurement in automotive sensing: How FMCW radar and lidar can work together
Convolutional neural networks: Alternate drivers’ visual perceptions
The case against autonomous cars
Enabling commercial autonomous robotic space explorers
Self-driving vehicles: Key technical challenges and progress off the road
Examining the sensors that enable self-driving vehicles
Connected, autonomous cars: Passive pothole patrollers
Том:
39
Рік:
2020
Видавництво:
IEEE
Мова:
english
Сторінки:
64
Файл:
PDF, 6.48 MB
IPFS:
,
english, 2020