Automotive LIDAR

2017 ~ Present


To develop an automotive LiDAR system in support of the emerging technical area of vehicle autonomy and increased safety.

Issues Involved or Addressed

Compact LiDAR design capable of implementation onto an automotive platform, real-time data processing, obstacle detection and avoidance, opto-mechanical design, electro-optical systems, mathematics, code. Scalable delivery of multi-media content over wireless channels; formation of transient social networks, peer-to-peer video streaming; data visualization; design/optimization of wireless networks; design/applications of sensor networks; distributed detection/estimation; structural health monitoring; game design/deployment.

Methods and Technologies

  • LiDAR
  • Data Processing and Management
  • Electro-optical Systems
  • Hyperspectral Imaging
  • Obstacle Detection
  • Opto-mechanics

Academic Majors of Interest

  • Electrical Engineering
  • Computer Engineering
  • Mechanical Engineering
  • Business Administration, Management
  • Mathematics
  • Computer Science
  • College of Engineering

Preferred Interests and Preparation

EE, CmpE – Experience/interest in electronics, FPGA’s, electro-optical systems, generation of code.

ME - Experience/interest in opto-mechanics, CAD, design, manufacturing, assembly, testing.

MGMT – Experience/interest in project management, budgets, procurement, interfacing with vendors, project tracking.

MATH – Experience/interest in developing algorithms, code.

Meeting Schedule & Location



Meeting Location: 

Klaus 1440

Meeting Day: 


Team Advisors

Eric Brown (GTRI)
Bob Case (GTRI)