- Видео 6
- Просмотров 30 287
Stanley Lam
Добавлен 30 апр 2006
Lofi Hiking around The Coal Loader - North Sydney
Let's take a hike around the Coal Loader bush walk. Discover Balls Head Reserve and Carradah Park on the Waverton Peninsula in NSW, Australia.
It accessible by public transportation via Waverton Station using Sydney Trains T1 North Shore line services.
The Coal Loader Centre for Sustainability (the Coal Loader) is the face of sustainability at North Sydney Council. Located on the Waverton waterfront, the Coal Loader is a place to relax, be inspired, grab a coffee or lunch, and learn.
Music: Lofi Girl - 1 A.M. Study Session
[00:00] WYS - Snowman
[03:15] Fatb - Cotton Cloud
[05:18] rook1e x tender spring - the places we used to walk
[07:34] imagiro - wool gloves
[10:18] Glimlip x Yasper - I'm sor...
It accessible by public transportation via Waverton Station using Sydney Trains T1 North Shore line services.
The Coal Loader Centre for Sustainability (the Coal Loader) is the face of sustainability at North Sydney Council. Located on the Waverton waterfront, the Coal Loader is a place to relax, be inspired, grab a coffee or lunch, and learn.
Music: Lofi Girl - 1 A.M. Study Session
[00:00] WYS - Snowman
[03:15] Fatb - Cotton Cloud
[05:18] rook1e x tender spring - the places we used to walk
[07:34] imagiro - wool gloves
[10:18] Glimlip x Yasper - I'm sor...
Просмотров: 41
Видео
Evaluation of a Transportation System Employing Autonomous Vehicles
Просмотров 1337 лет назад
Supplementary video demonstrating the simulation platform developed for the research and development of autonomous vehicles on existing highway systems. University of New South Wales
IGVC 2015 UNSW Advanced Course Chase - Speed Record
Просмотров 25 тыс.9 лет назад
University of New South Wales, Australia at the 23rd Intelligent Ground Vehicle Competition (IGVC 2015) in Michigan. This is from a stabilised hand-held chase camera recording from UNSW's fastest advance course run, demonstrating the autonomous vehicle's real-time sensing, localisation, mapping, navigation and control capabilities. Course Ranking: #1 Distance: 1032 ft. Time: 3 minutes 52 second...
IGVC 2015 UNSW Advanced Course GoPro - Speed Record
Просмотров 2,8 тыс.9 лет назад
University of New South Wales, Australia at the 23rd Intelligent Ground Vehicle Competition (IGVC 2015) in Michigan. This is a stabilized onboard GoPro recording from UNSW's fastest advance course run, demonstrating the autonomous vehicle's real-time sensing, localisation, mapping, navigation and control capabilities. Course Ranking: #1 Distance: 1032 ft. Time: 3 minutes 52 seconds. Visualisati...
IGVC 2015 UNSW Advanced Course Visualisation - Speed Record
Просмотров 2,1 тыс.9 лет назад
University of New South Wales, Australia at the 23rd Intelligent Ground Vehicle Competition (IGVC 2015) in Michigan. This is a visualisation of recorded data from UNSW's fastest advance course run, demonstrating the autonomous vehicle's real-time sensing, localisation, mapping, navigation and control capabilities. Course Ranking: #1 Distance: 1032 ft. Time: 3 minutes 52 seconds. GoPro: ruclips....
How is the mapping of the route done?
The vehicle uses a multi-layer occupancy map using the onboard cameras and lidar. Cameras are used to detect things like the course boundaries, and the lidar is used to detect obstacles. Using this map, the navigation system will replan its route around detected obstacles in its path. You can see this in the other video: ruclips.net/video/MjsuWhYpq6E/видео.html
Awesome. Are you guys using SLAM or any kind of navigation stack for pathfinding? And if so, is there a pre mapping phase or do you dynamically map the area as you navigate through?
We don’t run classic SLAM since we have good gps data. We do object detection to build up our occupancy maps and run our navigation on that data. Path planning is done in two stages, a coarse-grained fast search to the next waypoint and then a fine-grained kinodynamic optimization to minimize time and risk. We retain data from previous runs to enhance the maps, but it is able to run the course entirely without this step.
nice work guys. Im jealous. My school won IGVC 14 years ago before i was a student. Back then my department actually cared about this awesome stuff and helped us fund it and had professors that were interested. Sadly not anymore and the students are the ones suffering Congrats to you. I would be very curious what scheme,language,hardware you are using for real time censoring.
How does it see the white line?
TedRobotBuilder We have two cameras onboard the robot. A particle filter with a trained Bayesian classifier is used to identify things that could be white lines in the image.
Stanley Lam Thanks for the feedback! :D
Excellent accomplishment and very tidy camerawork too. The course visualisation was also very interesting.
thats some next level shit. :O this tech will be a huge impact on space exploration programs, will get lot stronger. Good job mates.
I actually enjoyed this, congratulations!
Well done! congrats!
uaaaa you guys ROCK!!!!!
it sounds like chicken.. i call that robot chicken even though it was named already but i call robot chicken.. lol
Amazing creation man!