Autonomous Driving Localization, path planning, obstacle avoidance

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Presentation transcript:

Autonomous Driving Localization, path planning, obstacle avoidance Heavy use of Velodyne and detailed(recorded) map TOO EXPENSIVE Let’s do it with cheap camera!

Problem of Computer Vision Stereo, optical flow, visual odometry, structure-from-motion, 3D reconstruction visual odometry is the process of determining the position and orientation of a robot by analyzing the associated camera images

Problem of Computer Vision 3D scene understanding Geometric properties, e.g., street orientation Topological properties, e.g., number of intersecting streets Semantic activities, e.g., traffic situations at an intersection

Problem of Computer Vision Object detection, recognition, and tracking visual odometry is the process of determining the position and orientation of a robot by analyzing the associated camera images

Mobileye ADAS The Vision Sensor Unit with the compact High Dynamic Range CMOS (HDRC) camera, Mobileye EyeQ2 chip, proprietary algorithms and audio alert that attaches to the inside of the vehicle’s windshield. The user-friendly, high visibility EyeWatch display

Mobileye ADAS Pedestrian Collision Warning Lane Departure Forward Collision Warning Headway Monitoring Mobileye Intelligent high-Beam Speed Limit Indication

NVIDIA Solution NVIDIA Tegra X1 Mobile Processor ARM® Cortex® A57/ A53 64/32-bit CPU architecture that delivers high performance and power efficiency. Maxwell GPU architecture that utilizes 256 cores to deliver class-leading performance and power efficiency for the next generation of visual computing applications

NVIDIA Solution NVIDIA DRIVE CX Cockpit Computer

NVIDIA Solution NVIDIA DRIVE PX complete auto-pilot computing development platform that comes with software modules for advanced features such as surround vision, Auto-Valet parking, contextual driver assistance and more, at fraction of the cost to car makers. Development platform(12 camera inputs) The NVIDIA DRIVE PX Auto-Pilot Platform is a complete auto-pilot computing development platform that comes with software modules for advanced features such as surround vision, Auto-Valet parking, contextual driver assistance and more, at fraction of the cost to car makers.

NVIDIA Solution NVIDIA DRIVE PX – surround view solution, self-parking Structure From Motion (SFM) algorithm to create 3D world Parking spot detector algorithm a path-planning algorithm to control the steering, brakes, and accelerator of the car

NVIDIA Solution NVIDIA DRIVE PX – Difficulty and Limitations of current ADAS lighting conditions such as rain, night time, and bright reflections as humans we would be more wary and drive more carefully when we see a distracted pedestrian who is crossing the road while talking on the phone, as compared to when we see a pedestrian who is aware of an approaching car and crosses the road more carefully

NVIDIA Solution NVIDIA DRIVE PX – Contextual ADAS Deep learning and neural networks

NVIDIA Solution NVIDIA DRIVE PX – Contextual ADAS Deep learning and neural networks Real-time?

Ford’s Smart Mobility 25 global mobility experiments launched this year to test new ideas Big Data Drive: Dearborn, Michigan Fleet Insights: United States Data Driven Insurance: London Remote Repositioning: Atlanta City Driving On-Demand: London Dynamic Social Shuttle: New York, London Car Swap: Dearborn, Michigan Ford Carsharing: Germany Share-Car: Bangalore, India Rapid Recharge & Share: Dearborn, Michigan Data Driven Healthcare: The Gambia, West Africa Parking Spotter: Atlanta Info Cycle: Palo Alto, California Painless Parking: London

Ford’s Smart Mobility Big Data Drive Gather all data Vehicle speed, the number of times that break has been pressed, location information, how much fuel was being used, wheather, open window, air conditioning, everything.  how drivers interact with external factors 

Ford’s Smart Mobility Remote Repositioning Via LTE, vehicle sent visual scene to remote driver.

Connected Vehicles Vehicle-to-vehicle (V2V) communications comprises a wireless network where automobiles send messages to each other with information about what they’re doing speed, location, direction of travel, braking, and loss of stability U.S. Department of Transportation announcing early this year that it plans to start taking steps to enable V2V communication. Virtual airbag

Connected Vehicles Definition Technologies Benefits Connected vehicles interact with each other (v2v), the roadside (v2i), and beyond (v2x) via wireless communications Technologies 3G/4G 5.9Hz Dedicated Short Range Communication(DSRC) Benefits Most Effective when vehicles, roadside infrastructure(such as roads and highways), and back-end (telecommunications and Internet backbones) work together