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TRI（Toyota Research Institute）、MIT CSAIL（Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory）・・・.
Social Behavior for Autonomous Vehicles CSAIL DRL Autonomy Research
We present a framework that integrates social psychology tools into controller design for autonomous vehicles. Our key insight utilizes Social Value Orientation (SVO), quantifying an agent’s degree of selfishness or altruism, which allows us to better predict driver behavior. We model interactions between human and autonomous agents with game theory and the principle of best response. Our unified algorithm estimates driver SVOs and incorporates their predicted trajectories into the autonomous vehicle’s control while respecting safety constraints. We study common-yet-difficult traffic scenarios: highway merging and unprotected left turns. Incorporating SVO reduces error in predictions by 25%, validated on 92 human driving merges. Furthermore, we find that merging drivers are more competitive than non-merging drivers.
— Toyota Research Institute (TRI) (@ToyotaResearch) 2019年10月3日
BREAKING: New machine-learning system predicts if a driver is selfish or selfless.
The goal is to enable self-driving cars to better handle situations like merging and taking left-hand turns. https://t.co/i6tIgWF3FX
— MIT CSAIL (@MIT_CSAIL) 2019年11月18日
WATCH: MIT's self-driving car (on right) can see other cars around corners by sensing tiny changes in shadows: https://t.co/wl3JpMAfpk
More info: https://t.co/b7QSwqCrVM
— MIT CSAIL (@MIT_CSAIL) 2019年10月28日
Open Road, Open Future. #TokyoMotorShow2019 features an Open Road where you can try out a future mobility of your choice! Which one will you try out? https://t.co/5BFFbXaGaD #TMS2019 #TMSToyota pic.twitter.com/xqJEuGJ3y2
— Toyota Motor Corp. (@ToyotaMotorCorp) 2019年10月27日