Autonomous Cars

Artificial Intelligence & Information Analysis

DESCRIPTION

Autonomous Car  research and development is booming today, with many companies developing such cars, e.g., TESLA, BMW, MERCEDES, FIAT, TOYOTA, to name a few. Very many application areas emerge from companies like UBER and LYFT, that tend to change the city landscape in the near future, e.g.,

  1. Car rentals (instead of car purchases)
  2. Autonomous taxis.
  3. Autonomous vans for goods transportation.

This CVML Web Module focuses on Autonomous Car methods and technologies, its applications in the above-mentioned diverse domains towards new challenges ahead. An Introduction to Autonomous Car Vision paves the way to Autonomous Car perception, based on Autonomous Car Sensors. Particular attention is paid to Pedestrian Detection and Street Environment Perception, as they enable car safety. Two lectures address semantic road mapping: 3D Road Surface Reconstruction and Road Condition Assessment.  Road Traffic Monitoring allows proper Autonomous Car path (re)planning.

LECTURE LIST

  1. 3D Road Surface Reconstruction
  2. Autonomous Car Sensors
  3. Introduction to Autonomous Car Vision
  4. Pedestrian Detection
  5. Road Condition Assessment
  6. Road Traffic Monitoring
  7. Street Environment Perception

MATERIAL

Autonomous Cars Material