Autonomous Golf Cart from NUS

National University of Singapore(NUS) is working on developing autonomous vehicles that can be used for urban systems of the future. The aim of the project is to achieve autonomous navigation with the lowest cost allowable without sacrificing the robustness and reliability of the system.

This is autonomous golf cart equipped with 3 LIDAR on the vehicle for feature detection, curb detection and obstacle avoidance. Other sensors used on the cart are is the camera and the odometry system. This allows the cart to localize it’s position and navigation autonomously. The video shows the cart has the ability to perform SLAM and handle human traffic in a low traffic place like the university.

The Google autonomous car has set very high standards for autonomous navigation with features within the system to plan it’s actions at road junctions and real life traffic conditions. This might come at a high cost given the sensors that are used on the google car. NUS hopes to lower the cost of development. There are uses for autonomous vehicles within pretty controlled environments like university campuses and small towns.

Stanford Self-Driving Car Hits Top Speed of 120mph

Stanford’s Dynamic Designs Lab and the Volkswagen Electronics Research Lab has collaborated to work on a self-driven Audi TTS. They have managed to allow the self-driving car to hit speeds of up to 120mph.

The Google self-driving car has achieved the distance (300,000 miles) whereas the Stanford-Volkswagen team holds the top speed accolade. But at this speed, the car has not been able to beat professional drivers on the track yet. The team is working hard to tweak the system to hopefully one day beat us