This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary, project-based, team-based course supporting faculty research. Students can participate multiple semesters. 4000-level students will: have strong foundations within their disciplines; further pursue needed knowledge/skills; make meaningful contributions; take on significant responsibilities in technical areas and/or team leadership.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Students can participate multiple semesters. Graduate students will pursue needed knowledge/skills; make meaningful contributions; provide leadership in technical areas/team management.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Students can participate multiple semesters. Graduate students will pursue needed knowledge/skills; make meaningful contributions; provide leadership in technical areas/team management.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary, project-based, team-based course supporting faculty research. Students can participate multiple semesters. 4000-level students will: have strong foundations within their disciplines; further pursue needed knowledge/skills; make meaningful contributions; take on significant responsibilities in technical areas and/or team leadership.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Can participate multiple semesters. Students will have strong foundations within discipline, pursue further knowledge/skills, make meaningful contributions, and assume significant technical/leadership responsibilities.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Can participate multiple semesters. Students will familiarize themselves with project, gain knowledge/skills, and begin making meaningful contributions.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Can participate multiple semesters. Students will have foundations within discipline, pursue needed knowledge/skills, make meaningful contributions, and assume technical/leadership responsibilities.

This interdisciplinary, project-based course challenges students to engineer a low-cost scanning LiDAR system from the ground up and integrate it into a fully autonomous RC vehicle-based testbed. Students will work in collaborative teams to bridge the gap between hardware and software, focusing on the precision of laser-based sensing and the logic of autonomous navigation.

Multidisciplinary course supporting faculty research. Can participate multiple semesters. Students will have foundations within discipline, pursue needed knowledge/skills, make meaningful contributions, and assume technical/leadership responsibilities.